Computer Science Classes

Spring 2018 Fall 2018 Spring 2019

Spring 2018

Number / Section	Name	Days	Time	Room	Instructor	Avail. / Max.
COMP 112-01	Introduction to Data Science	Days: TR	Time: 08:00 am-09:30 am	Room: OLRI 254	Instructor: Shilad Sen	Avail./Max.: Closed -2 / 24
Cross-listed with MATH 112-01; first day attendance required; ACTC students may register on December 1st with permission of instructor; limit reflects saving 2 seats for first year students Details This course provides an introduction to the handling, analysis, and interpretation of the big datasets now routinely being collected in science, commerce, and government. Students achieve facility with a sophisticated, technical computing environment. The course aligns with techniques being used in several courses in the natural and social sciences, statistics, and mathematics. The course is intended to be accessible to all students, regardless of background. General Education Requirements: Quantitative Thinking Q2 Distribution Requirements: Natural science and mathematics Course Materials
COMP 123-01	Core Concepts in Computer Science	Days: MWF	Time: 08:30 am-09:30 am	Room: OLRI 258	Instructor: Lian Duan	Avail./Max.: Closed 0 / 25
First day attendance required; ACTC students may register on December 1st with permission of instructor; limit reflects saving five seats for first years students Details This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 123-02	Core Concepts in Computer Science	Days: MWF	Time: 09:40 am-10:40 am	Room: OLRI 258	Instructor: Lian Duan	Avail./Max.: Closed -3 / 25
First day attendance required; ACTC students may register on December 1st with permission of instructor; limit reflects saving five seats for first year students Details This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 123-03	Core Concepts in Computer Science	Days: MWF	Time: 10:50 am-11:50 am	Room: OLRI 258	Instructor: Getiria Onsongo	Avail./Max.: Closed 2 / 30
First day attendance required; ACTC students may register on December 1st with permission of instructor; limit reflects saving five seats for first year students Details This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 123-04	Core Concepts in Computer Science	Days: MWF	Time: 03:30 pm-04:30 pm	Room: OLRI 258	Instructor: Susan Fox	Avail./Max.: Closed 1 / 30
First day attendance required; ACTC students may register on December 1st with permission of instructor; limit reflects saving five seats for first year students. Details This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language. General Education Requirements: Writing WP Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-01	Object-Oriented Programming and Data Structures	Days: MWF	Time: 08:30 am-09:30 am	Room: OLRI 256	Instructor: Bret Jackson	Avail./Max.: 1 / 16
Permission of instructor required; first day attendance required; students registered for Section 01 of COMP 124 MUST register for Lab 1; ACTC students may register on December 1st with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-02	Object-Oriented Programming and Data Structures	Days: MWF	Time: 09:40 am-10:40 am	Room: OLRI 256	Instructor: Bret Jackson	Avail./Max.: -1 / 16
Permission of instructor required; first day attendance required; students registered for Section 02 of COMP 124 MUST register for Lab 2; ACTC students may register on December 1st with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-03	Object-Oriented Programming and Data Structures	Days: MWF	Time: 01:10 pm-02:10 pm	Room: OLRI 256	Instructor: Paul Cantrell	Avail./Max.: 1 / 16
Permission of instructor required; first day attendance required; students registered for Section 03 of COMP 124 MUST register for Lab 3; ACTC students may register on December 1st with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-04	Object-Oriented Programming and Data Structures	Days: MWF	Time: 02:20 pm-03:20 pm	Room: OLRI 256	Instructor: Daniel Kluver	Avail./Max.: 3 / 16
Permission of instructor required; first day attendance required; students registered for Section 04 of COMP 124 MUST register for Lab 4; ACTC students may register on December 1st with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-L1	Object-Oriented Programming and Data Structures	Days: R	Time: 08:00 am-09:30 am	Room: OLRI 256	Instructor: Bret Jackson	Avail./Max.: 0 / 16
Students registered for Lab 1 of COMP 124 MUST register for Section 01 of the course; ACTC students may register on December 1st with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-L2	Object-Oriented Programming and Data Structures	Days: R	Time: 09:40 am-11:10 am	Room: OLRI 256	Instructor: Bret Jackson	Avail./Max.: 1 / 16
Students registered for Lab 2 of COMP 124 MUST register for Section 02 of the course; ACTC students may register on December 1st with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-L3	Object-Oriented Programming and Data Structures	Days: R	Time: 01:20 pm-02:50 pm	Room: OLRI 256	Instructor: Paul Cantrell	Avail./Max.: Closed 0 / 16
Students registered for Lab 3 of COMP 124 MUST register for Section 03 of the course; ACTC students may register on December 1st with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-L4	Object-Oriented Programming and Data Structures	Days: R	Time: 03:00 pm-04:30 pm	Room: OLRI 256	Instructor: Daniel Kluver	Avail./Max.: Closed 3 / 16
Students registered for Lab 4 of COMP 124 MUST register for Section 04 of the course; ACTC students may register on December 1st with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 221-01	Algorithm Design and Analysis	Days: TR	Time: 09:40 am-11:10 am	Room: OLRI 243	Instructor: Shilad Sen	Avail./Max.: -5 / 26
Permission of instructor required; first day attendance required; ACTC students may register on December 1st with permission of instructor Details An in-depth introduction to the design and analysis of algorithms. Topics may include algorithmic paradigms and structures, including recursion, divide and conquer, dynamic programming, greedy methods, branch and bound, randomized, probabilistic, and parallel algorithms, non-determinism and NP completeness. Applications to searching and sorting, graphs and optimization, geometric algorithms, and transforms. Prerequisite(s): COMP 124 and MATH 279, or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 221-02	Algorithm Design and Analysis	Days: TR	Time: 01:20 pm-02:50 pm	Room: OLRI 205	Instructor: Lian Duan	Avail./Max.: 7 / 26
Permission of instructor required; first day attendance required; ACTC students may register on December 1st with permission of instructor Details An in-depth introduction to the design and analysis of algorithms. Topics may include algorithmic paradigms and structures, including recursion, divide and conquer, dynamic programming, greedy methods, branch and bound, randomized, probabilistic, and parallel algorithms, non-determinism and NP completeness. Applications to searching and sorting, graphs and optimization, geometric algorithms, and transforms. Prerequisite(s): COMP 124 and MATH 279, or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 225-01	Software Design and Development	Days: MWF	Time: 01:10 pm-02:10 pm	Room: OLRI 245	Instructor: Bret Jackson	Avail./Max.: 0 / 16
Permission of instructor required; first day attendance required; ACTC students may register on December 1st with permission of instructor Details This course builds upon the software design foundation started in COMP 124. Students will design and implement medium-sized software projects using modern software design principles such as design patterns, refactoring, fault tolerance, stream-based programming, and exception handling. The concept of a distributed computing system will be introduced, and students will develop multithreaded and networked applications using currently available software libraries. Advanced graphical user interface methods will be studied with an emphasis on appropriate human-computer interaction techniques. Students will use operating systems services and be introduced to methods of evaluating the performance of their software. Prerequisite(s): COMP 124 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 225-02	Software Design and Development	Days: MWF	Time: 03:30 pm-04:30 pm	Room: OLRI 205	Instructor: Elizabeth Jensen	Avail./Max.: 2 / 16
Permission of instructor required; first day attendance required; ACTC students may register on December 1st with permission of instructor Details This course builds upon the software design foundation started in COMP 124. Students will design and implement medium-sized software projects using modern software design principles such as design patterns, refactoring, fault tolerance, stream-based programming, and exception handling. The concept of a distributed computing system will be introduced, and students will develop multithreaded and networked applications using currently available software libraries. Advanced graphical user interface methods will be studied with an emphasis on appropriate human-computer interaction techniques. Students will use operating systems services and be introduced to methods of evaluating the performance of their software. Prerequisite(s): COMP 124 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 240-01	Computer Systems Organization	Days: MWF	Time: 10:50 am-11:50 am	Room: OLRI 245	Instructor: Elizabeth Jensen	Avail./Max.: 0 / 16
Permission of instructor required; first day attendance required; ACTC students may register on December 1st with permission of instructor Details This course familiarizes the student with the internal design and organization of computers. Topics include number systems, internal data representations, microarchitectures, the functional units of a computer system, memory, processor, and input/output structures, instruction sets and assembly language, addressing techniques, system software, and concurrency and parallelism. Prerequisite(s): COMP 124 , or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 240-02	Computer Systems Organization	Days: MWF	Time: 02:20 pm-03:20 pm	Room: OLRI 245	Instructor: Elizabeth Shoop	Avail./Max.: -2 / 12
Permission of instructor required; first day attendance required; ACTC students may register on December 1st with permission of instructor Details This course familiarizes the student with the internal design and organization of computers. Topics include number systems, internal data representations, microarchitectures, the functional units of a computer system, memory, processor, and input/output structures, instruction sets and assembly language, addressing techniques, system software, and concurrency and parallelism. Prerequisite(s): COMP 124 , or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 240-03	Computer Systems Organization	Days: MWF	Time: 03:30 pm-04:30 pm	Room: OLRI 245	Instructor: Elizabeth Shoop	Avail./Max.: 0 / 12
Permission of instructor required; first day attendance required; ACTC students may register on December 1st with permission of instructor Details This course familiarizes the student with the internal design and organization of computers. Topics include number systems, internal data representations, microarchitectures, the functional units of a computer system, memory, processor, and input/output structures, instruction sets and assembly language, addressing techniques, system software, and concurrency and parallelism. Prerequisite(s): COMP 124 , or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 261-01	Theory of Computation	Days: MWF	Time: 01:10 pm-02:10 pm	Room: OLRI 241	Instructor: Daniel Kluver	Avail./Max.: 5 / 30
Cross-listed with MATH 361-01; permission of instructor required; first day attendance required; ACTC students may register on December 1st with permission of instructor Details This course examines the theoretical foundations of computation. It explores different mathematical models that try to formalize our informal notion of an algorithm. Models include finite automata, regular expressions, grammars, and Turing machines. The course also discusses ideas about what can and cannot be computed. In addition, the course explores the basics of complexity theory, examining broad categories of problems and their algorithms, and their efficiency. The focus is on the question of P versus NP, and the NP-complete set. Prerequisite(s): COMP 124 and MATH 279, or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 302-01	Introduction to Database Management Systems	Days: TR	Time: 01:20 pm-02:50 pm	Room: OLRI 258	Instructor: Getiria Onsongo	Avail./Max.: Closed 3 / 20
First day attendance required; ACTC students may register on December 1st with permission of instructor Details This course will introduce students to the design, implementation, and analysis of databases stored in database management systems (DBMS). Topics include implementation-neutral data modeling, database design, database implementation, and data analysis using relational algebra and SQL. Students will generate data models based on real-world problems, and implement a database in a state-of-the-art DBMS. Students will master complex data analysis by learning to first design database queries and then implement them in a database query language such as SQL. Advanced topics include objects in databases, indexing for improved performance, distributed databases, and data warehouses. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 365-01	Computational Linear Algebra	Days: TR	Time: 08:00 am-09:30 am	Room: OLRI 245	Instructor: Lori Ziegelmeier	Avail./Max.: 8 / 24
Cross-listed with MATH 365-01; ACTC students may register on December 1st with permission of instructor Details This course covers a central point of contact between mathematics and computer science. Many of the computational techniques important in science, commerce, and statistics are based on concepts from linear algebra: subspaces, projection, matrix decompositions, etc. The course reviews these concepts, adopts them to large scales, and applies them in the core techniques of scientific computing; solving systems of linear and nonlinear equations, approximation and statistical function estimation, optimization, interpolation, Monte Carlo techniques. Applications throughout the sciences and statistics. Prerequisite(s): COMP 120 or COMP 123, and MATH 236 General Education Requirements: Writing WP Distribution Requirements: Natural science and mathematics Course Materials
COMP 365-02	Computational Linear Algebra	Days: TR	Time: 09:40 am-11:10 am	Room: OLRI 245	Instructor: Lori Ziegelmeier	Avail./Max.: 16 / 24
Cross-listed with MATH 365-02; ACTC students may register on December 1st with permission of instructor Details This course covers a central point of contact between mathematics and computer science. Many of the computational techniques important in science, commerce, and statistics are based on concepts from linear algebra: subspaces, projection, matrix decompositions, etc. The course reviews these concepts, adopts them to large scales, and applies them in the core techniques of scientific computing; solving systems of linear and nonlinear equations, approximation and statistical function estimation, optimization, interpolation, Monte Carlo techniques. Applications throughout the sciences and statistics. Prerequisite(s): COMP 120 or COMP 123, and MATH 236 General Education Requirements: Writing WP Distribution Requirements: Natural science and mathematics Course Materials
COMP 380-01	Bodies/Minds: AI Robotics	Days: TR	Time: 03:00 pm-04:30 pm	Room: OLRI 258	Instructor: Susan Fox	Avail./Max.: Closed -1 / 27
First day attendance required; ACTC students may register on Friday, December 1st with permission of instructor Details This course examines two distinct aspects of work in robotics: the physical construction of the robot's "body" and the creation of robot control programs that form the robot's "mind." It will study the strengths and weaknesses of a variety of robot sensors, including sonar, infrared, touch, GPS, and computer vision. It will also examine both reactive and deliberative approaches to robot control programs. The course will include hands-on work with multiple robots, and a semester-long course project in robotics. Prerequisite(s): COMP 221 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 394-01	Programming Languages	Days: MWF	Time: 03:30 pm-04:30 pm	Room: OLRI 254	Instructor: Paul Cantrell	Avail./Max.: Closed -10 / 20
First day attendance required; ACTC students may register on December 1st with permission of instructor Details Where do programming languages come from? What characteristics do different languages have in common? What design decisions differentiate them? What problems and constraints drive those decisions, and what tradeoffs do those decisions incur? How do languages affect the style of code we write, our development processes, and the way we think about software? In this course, we will examine a wide variety of programming languages — many briefly, a few in depth — comparing their approaches to topics such as types, memory management, abstraction, access control, closures and higher-order functions, function/method dispatch, metaprogramming, concurrency, compilation, and the runtime environment. Coursework includes programming exercises, reading and modifying code from the wild, and student-led presentations. Prerequisites: COMP 240 and COMP 261. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 440-01	Collective Intelligence	Days: TR	Time: 01:20 pm-02:50 pm	Room: OLRI 101	Instructor: Shilad Sen	Avail./Max.: 2 / 24
Permission of instructor required; first day attendance required; ACTC students may register on December 1st with permission of instructor Details This course introduces the theory and practice of data science applied to online communities such as Wikipedia, Facebook, and Twitter. Students will read and discuss recent academic research papers that analyze behavior on these websites and use computational simulation, machine learning, and data-mining techniques to analyze massive behavioral datasets in areas such as recommender systems, natural language processing, and tagging systems. Prerequisite(s): COMP 124 and COMP 221, or permission of instructor. General Education Requirements: Quantitative Thinking Q3 Distribution Requirements: Natural science and mathematics Course Materials
COMP 479-01	Network Science	Days: TR	Time: 09:40 am-11:10 am	Room: OLRI 254	Instructor: Andrew Beveridge	Avail./Max.: 11 / 24
Cross-listed with MATH 479-01; ACTC students may register on December 1st with permission of instructor Details The modern Information Age has produced a wealth of data about the complex networks that tie us together. In response, the field of Network Science has arisen, bringing together mathematics, computer science, sociology, biology, economics and other fields. This course will explore the fundamental questions and the mathematical tools of Network Science. This includes: the structure of complex networks, including connectedness, centrality and "long tails"; community detection; random/strategic models for network formation; diffusion/contagion and "tipping points" on networks; and algorithms for analyzing complex networks. Prerequisite(s): MATH 236 and MATH 379 and COMP 123. General Education Requirements: Quantitative Thinking Q2 Writing WP Distribution Requirements: Natural science and mathematics Course Materials

Fall 2018

Number / Section	Name	Days	Time	Room	Instructor	Avail. / Max.
COMP 112-01	Introduction to Data Science	Days: TR	Time: 08:00 am-09:30 am	Room: OLRI 254	Instructor: David Shuman	Avail./Max.: 5 / 25
First day attendance required; cross-listed with MATH 112-01; ACTC students may register on the first day of class, with permission of instructor Details This course provides an introduction to the handling, analysis, and interpretation of the big datasets now routinely being collected in science, commerce, and government. Students achieve facility with a sophisticated, technical computing environment. The course aligns with techniques being used in several courses in the natural and social sciences, statistics, and mathematics. The course is intended to be accessible to all students, regardless of background. General Education Requirements: Quantitative Thinking Q2 Distribution Requirements: Natural science and mathematics Course Materials
COMP 112-02	Introduction to Data Science	Days: TR	Time: 09:40 am-11:10 am	Room: OLRI 254	Instructor: David Shuman	Avail./Max.: 6 / 25
First day attendance required; cross-listed with MATH 112-02; ACTC students may register on the first day of class, with permission of instructor Details This course provides an introduction to the handling, analysis, and interpretation of the big datasets now routinely being collected in science, commerce, and government. Students achieve facility with a sophisticated, technical computing environment. The course aligns with techniques being used in several courses in the natural and social sciences, statistics, and mathematics. The course is intended to be accessible to all students, regardless of background. General Education Requirements: Quantitative Thinking Q2 Distribution Requirements: Natural science and mathematics Course Materials
COMP 123-01	Core Concepts in Computer Science	Days: MWF	Time: 03:30 pm-04:30 pm	Room: OLRI 258	Instructor: Susan Fox	Avail./Max.: 16 / 16
First Year Course only Details At its core, Computer Science is about information and process. Information becomes data that a computer can manipulate; a process describes in a standard way the steps to solve a given problem. The computer and the Internet have transformed our lives by allowing us to store and manipulate data in unprecedented ways, and by automating incredibly complex processes. Computer science is also fundamentally about the interplay of design, creativity, technique, and experimentation. Creating complex systems or ways to represent complex data requires us to plan carefully (design), and to know how to use the computer’s tools (technique), but we also experience inspiration and build something beautiful out of our imaginations (creativity), and often we just have to get our hands dirty trying things out (experimentation). This course will introduce you to computer science, including central concepts of the field such as design and implementation of algorithms and programs, testing and analyzing programs, and the representation of information within the computer. Our exploration of these central ideas will be organized around several major topics, including turtle graphics, text and data analysis, image processing, and graphical user interfaces. Throughout, we will apply our techniques to simulations, data analysis, and visualizations that explore topics that make our world a better place. We will use the popular Python programming language. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 123-02	Core Concepts in Computer Science	Days: MWF	Time: 08:30 am-09:30 am	Room: OLRI 254	Instructor: Getiria Onsongo	Avail./Max.: 20 / 25
First day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 123-03	Core Concepts in Computer Science	Days: MWF	Time: 09:40 am-10:40 am	Room: OLRI 258	Instructor: Lauren Milne	Avail./Max.: 12 / 25
First day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 123-04	Core Concepts in Computer Science	Days: MWF	Time: 10:50 am-11:50 am	Room: OLRI 258	Instructor: Lauren Milne	Avail./Max.: 4 / 25
First day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 123-05	Core Concepts in Computer Science	Days: MWF	Time: 12:00 pm-01:00 pm	Room: OLRI 258	Instructor: Elizabeth Ernst	Avail./Max.: 5 / 25
First day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 123-06	Core Concepts in Computer Science	Days: MWF	Time: 01:10 pm-02:10 pm	Room: OLRI 258	Instructor: Elizabeth Ernst	Avail./Max.: 5 / 25
First day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-01	Object-Oriented Programming and Data Structures	Days: MWF	Time: 08:30 am-09:30 am	Room: OLRI 256	Instructor: Lian Duan	Avail./Max.: 10 / 16
First day attendance required; must register for COMP 124-L1; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-02	Object-Oriented Programming and Data Structures	Days: MWF	Time: 09:40 am-10:40 am	Room: OLRI 256	Instructor: Lian Duan	Avail./Max.: 6 / 16
First day attendance required; must register for COMP 124-L2; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-03	Object-Oriented Programming and Data Structures	Days: MWF	Time: 01:10 pm-02:10 pm	Room: OLRI 256	Instructor: Paul Cantrell	Avail./Max.: 2 / 16
First day attendance required; must register for COMP 124-L3; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-04	Object-Oriented Programming and Data Structures	Days: MWF	Time: 02:20 pm-03:20 pm	Room: OLRI 256	Instructor: Daniel Kluver	Avail./Max.: 11 / 16
First day attendance required; must register for COMP 124-L4; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-05	Object-Oriented Programming and Data Structures	Days: MWF	Time: 03:30 pm-04:30 pm	Room: OLRI 256	Instructor: Daniel Kluver	Avail./Max.: 11 / 16
First day attendance required; must register for COMP 124-L5 ACTC students may register on the first day of class, with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-L1	Object-Oriented Programming and Data Structures	Days: R	Time: 08:00 am-09:30 am	Room: OLRI 256	Instructor: Lian Duan	Avail./Max.: 10 / 16
Must register for COMP 124-01 Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-L2	Object-Oriented Programming and Data Structures	Days: R	Time: 09:40 am-11:10 am	Room: OLRI 256	Instructor: Lian Duan	Avail./Max.: 6 / 16
Must register for COMP 124-02 Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-L3	Object-Oriented Programming and Data Structures	Days: T	Time: 01:20 pm-02:50 pm	Room: OLRI 256	Instructor: Paul Cantrell	Avail./Max.: 2 / 16
Must register for COMP 124-03 Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-L4	Object-Oriented Programming and Data Structures	Days: R	Time: 01:20 pm-02:50 pm	Room: OLRI 256	Instructor: Daniel Kluver	Avail./Max.: 11 / 16
Must register for COMP 124-04 Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-L5	Object-Oriented Programming and Data Structures	Days: R	Time: 03:00 pm-04:30 pm	Room: OLRI 256	Instructor: Daniel Kluver	Avail./Max.: 11 / 16
Must register for COMP 124-05 Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 221-01	Algorithm Design and Analysis	Days: MWF	Time: 12:00 pm-01:00 pm	Room: OLRI 243	Instructor: Lian Duan	Avail./Max.: 3 / 25
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details An in-depth introduction to the design and analysis of algorithms. Topics may include algorithmic paradigms and structures, including recursion, divide and conquer, dynamic programming, greedy methods, branch and bound, randomized, probabilistic, and parallel algorithms, non-determinism and NP completeness. Applications to searching and sorting, graphs and optimization, geometric algorithms, and transforms. Prerequisite(s): COMP 124 and MATH 279, or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 225-01	Software Design and Development	Days: MWF	Time: 08:30 am-09:30 am	Room: OLRI 245	Instructor: Shilad Sen	Avail./Max.: 4 / 16
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course is an introduction to the problem of building software with humans and for humans. Students work in teams to design and implement a semester-long user-facing software project of their own invention. There are no limitations on topic or technology; on the contrary, students are responsible for imagining possibilities, articulating goals, and researching and selecting suitable technologies. The format resembles a studio art class, with in-class discussion guided by sharing and critiquing classmates' ongoing work. Topics include communication, division of labor, user-centered design, human-computer interaction, product management, project management, iterative development, engineering tradeoffs, separation of concerns, code readability and maintainability, refactoring, testing, and version control. Teams give a public demonstration of their working projects at the end of the semester. Prerequisite(s): COMP 124 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 225-02	Software Design and Development	Days: MWF	Time: 09:40 am-10:40 am	Room: OLRI 245	Instructor: Shilad Sen	Avail./Max.: 0 / 16
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course is an introduction to the problem of building software with humans and for humans. Students work in teams to design and implement a semester-long user-facing software project of their own invention. There are no limitations on topic or technology; on the contrary, students are responsible for imagining possibilities, articulating goals, and researching and selecting suitable technologies. The format resembles a studio art class, with in-class discussion guided by sharing and critiquing classmates' ongoing work. Topics include communication, division of labor, user-centered design, human-computer interaction, product management, project management, iterative development, engineering tradeoffs, separation of concerns, code readability and maintainability, refactoring, testing, and version control. Teams give a public demonstration of their working projects at the end of the semester. Prerequisite(s): COMP 124 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 225-03	Software Design and Development	Days: MWF	Time: 10:50 am-11:50 am	Room: OLRI 245	Instructor: Bret Jackson	Avail./Max.: 0 / 16
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course is an introduction to the problem of building software with humans and for humans. Students work in teams to design and implement a semester-long user-facing software project of their own invention. There are no limitations on topic or technology; on the contrary, students are responsible for imagining possibilities, articulating goals, and researching and selecting suitable technologies. The format resembles a studio art class, with in-class discussion guided by sharing and critiquing classmates' ongoing work. Topics include communication, division of labor, user-centered design, human-computer interaction, product management, project management, iterative development, engineering tradeoffs, separation of concerns, code readability and maintainability, refactoring, testing, and version control. Teams give a public demonstration of their working projects at the end of the semester. Prerequisite(s): COMP 124 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 225-04	Software Design and Development	Days: MWF	Time: 12:00 pm-01:00 pm	Room: OLRI 245	Instructor: Bret Jackson	Avail./Max.: 4 / 16
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course is an introduction to the problem of building software with humans and for humans. Students work in teams to design and implement a semester-long user-facing software project of their own invention. There are no limitations on topic or technology; on the contrary, students are responsible for imagining possibilities, articulating goals, and researching and selecting suitable technologies. The format resembles a studio art class, with in-class discussion guided by sharing and critiquing classmates' ongoing work. Topics include communication, division of labor, user-centered design, human-computer interaction, product management, project management, iterative development, engineering tradeoffs, separation of concerns, code readability and maintainability, refactoring, testing, and version control. Teams give a public demonstration of their working projects at the end of the semester. Prerequisite(s): COMP 124 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 240-01	Computer Systems Organization	Days: MWF	Time: 01:10 pm-02:10 pm	Room: OLRI 245	Instructor: Elizabeth Shoop	Avail./Max.: 2 / 12
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course familiarizes the student with the internal design and organization of computers. Topics include number systems, internal data representations, microarchitectures, the functional units of a computer system, memory, processor, and input/output structures, instruction sets and assembly language, addressing techniques, system software, and concurrency and parallelism. Prerequisite(s): COMP 124, or permission of instructor. MATH 236 recommended, but not required. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 240-02	Computer Systems Organization	Days: MWF	Time: 02:20 pm-03:20 pm	Room: OLRI 245	Instructor: Abigail Marsh	Avail./Max.: 0 / 16
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course familiarizes the student with the internal design and organization of computers. Topics include number systems, internal data representations, microarchitectures, the functional units of a computer system, memory, processor, and input/output structures, instruction sets and assembly language, addressing techniques, system software, and concurrency and parallelism. Prerequisite(s): COMP 124, or permission of instructor. MATH 236 recommended, but not required. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 240-03	Computer Systems Organization	Days: MWF	Time: 03:30 pm-04:30 pm	Room: OLRI 245	Instructor: Abigail Marsh	Avail./Max.: 7 / 16
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course familiarizes the student with the internal design and organization of computers. Topics include number systems, internal data representations, microarchitectures, the functional units of a computer system, memory, processor, and input/output structures, instruction sets and assembly language, addressing techniques, system software, and concurrency and parallelism. Prerequisite(s): COMP 124, or permission of instructor. MATH 236 recommended, but not required. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 261-01	Theory of Computation	Days: MWF	Time: 01:10 pm-02:10 pm	Room: OLRI 243	Instructor: Daniel Kluver	Avail./Max.: 1 / 25
Permission of instructor required; first day attendance required; cross-listed with MATH 361-01; ACTC students may register on the first day of class, with permission of instructor Details This course examines the theoretical foundations of computation. It explores different mathematical models that try to formalize our informal notion of an algorithm. Models include finite automata, regular expressions, grammars, and Turing machines. The course also discusses ideas about what can and cannot be computed. In addition, the course explores the basics of complexity theory, examining broad categories of problems and their algorithms, and their efficiency. The focus is on the question of P versus NP, and the NP-complete set. Prerequisite(s): COMP 124 and MATH 279, or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 302-01	Introduction to Database Management Systems	Days: MWF	Time: 03:30 pm-04:30 pm	Room: OLRI 254	Instructor: Elizabeth Shoop	Avail./Max.: 1 / 16
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course will introduce students to the design, implementation, and analysis of databases stored in database management systems (DBMS). Topics include implementation-neutral data modeling, database design, database implementation, and data analysis using relational algebra and SQL. Students will generate data models based on real-world problems, and implement a database in a state-of-the-art DBMS. Students will master complex data analysis by learning to first design database queries and then implement them in a database query language such as SQL. Advanced topics include objects in databases, indexing for improved performance, distributed databases, and data warehouses. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 320-01	Computational Biology	Days: TR	Time: 09:40 am-11:10 am	Room: OLRI 245	Instructor: Getiria Onsongo	Avail./Max.: 6 / 20
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This interdisciplnary course will examine selected topics in computational biology, including basic bioinformatics, algorithms used in genomics and genome analysis, computational techniques for systems biology, and synthetic biology. Prerequisite(s): COMP 123, or permission of the instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 346-01	Internet Computing	Days: MWF	Time: 10:50 am-11:50 am	Room: OLRI 205	Instructor: Shilad Sen	Avail./Max.: 0 / 20
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course introduces technologies for building dynamic web applications. It will look at all stages in the web application design process, including: 1) the basic protocols and technologies underlying the web (e.g. HTTP, REST), 2) front-end web technologies, such as HTML, CSS, and Javascript, 3) and application servers that manage requests for information, update data, etc. The course will be programming-intensive, with students using web frameworks to design and implement Internet applications. The format of the course will be mainly laboratory-based sessions, where students learn components of a web application, supported by lectures and discussions. Students will research particular topics and present their findings during these discussion sessions. The course will also investigate the usability of designs from a human factors standpoint and discuss privacy and other social consequences of this technology. Prerequisite(s): COMP 225 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 465-01	Interactive Computer Graphics	Days: MWF	Time: 08:30 am-09:30 am	Room: OLRI 258	Instructor: Bret Jackson	Avail./Max.: 0 / 20
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This capstone course will investigate the theory and practice of computer graphics programming using C++ and OpenGL. Through hands-on projects, supported by lecture and discussion, you will learn the fundamentals of creating interactive 2D and 3D images with applications in art, design, games, movies, science, and medicine. Topics covered will include event loops, polygonal models, rendering techniques, texturing, lighting, interaction techniques, and virtual reality. Prerequisite(s): COMP 240; Linear Algebra recommended but not required. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 484-01	Introduction to Artificial Intelligence	Days: MWF	Time: 02:20 pm-03:20 pm	Room: OLRI 258	Instructor: Susan Fox	Avail./Max.: 1 / 32
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details An introduction to the basic principles and techniques of artificial intelligence. Topics will include specific AI techniques, a range of application areas, and connections between AI and other areas of study (i.e., philosophy, psychology). Techniques may include heuristic search, automated reasoning, machine learning, deliberative planning and behavior-based agent control. Application areas include robotics, games, knowledge representation, and natural language processing. Prerequisite(s): COMP 221, or permission of instructor. General Education Requirements: Writing WP Distribution Requirements: Natural science and mathematics Course Materials
COMP 494-01	Software in Production	Days: MWF	Time: 03:30 pm-04:30 pm	Room: LIBR 250	Instructor: Paul Cantrell	Avail./Max.: 1 / 20
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details Varies by semester. Consult the department or class schedule for current listing. General Education Requirements: Distribution Requirements: Course Materials

Spring 2019

Number / Section	Name	Days	Time	Room	Instructor	Avail. / Max.
COMP 112-01	Introduction to Data Science	Days: TR	Time: 08:00 am-09:30 am	Room: OLRI 258	Instructor: Shilad Sen	Avail./Max.: 24 / 24
Cross-listed with MATH 112-01 Details This course provides an introduction to the handling, analysis, and interpretation of the big datasets now routinely being collected in science, commerce, and government. Students achieve facility with a sophisticated, technical computing environment. The course aligns with techniques being used in several courses in the natural and social sciences, statistics, and mathematics. The course is intended to be accessible to all students, regardless of background. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 123-01	Core Concepts in Computer Science	Days: MWF	Time: 09:40 am-10:40 am	Room: OLRI 258	Instructor: Getiria Onsongo	Avail./Max.: 25 / 25
First day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 123-02	Core Concepts in Computer Science	Days: MWF	Time: 10:50 am-11:50 am	Room: OLRI 258	Instructor: Getiria Onsongo	Avail./Max.: 25 / 25
First day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 123-03	Core Concepts in Computer Science	Days: MWF	Time: 01:10 pm-02:10 pm	Room: OLRI 258	Instructor: Lauren Milne	Avail./Max.: 25 / 25
First day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 123-04	Core Concepts in Computer Science	Days: MWF	Time: 02:20 pm-03:20 pm	Room: OLRI 258	Instructor: Susan Fox	Avail./Max.: 25 / 25
First day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 123-05	Core Concepts in Computer Science	Days: MWF	Time: 03:30 pm-04:30 pm	Room: OLRI 258	Instructor: Susan Fox	Avail./Max.: 25 / 25
First day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-01	Object-Oriented Programming and Data Structures	Days: MWF	Time: 10:50 am-11:50 am	Room: OLRI 256	Instructor: STAFF	Avail./Max.: 16 / 16
First day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-02	Object-Oriented Programming and Data Structures	Days: MWF	Time: 01:10 pm-02:10 pm	Room: OLRI 256	Instructor: STAFF	Avail./Max.: 16 / 16
First day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-03	Object-Oriented Programming and Data Structures	Days: MWF	Time: 02:20 pm-03:20 pm	Room: OLRI 256	Instructor: Daniel Kluver	Avail./Max.: 16 / 16
First day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-04	Object-Oriented Programming and Data Structures	Days: MWF	Time: 03:30 pm-04:30 pm	Room: OLRI 256	Instructor: Daniel Kluver	Avail./Max.: 16 / 16
First day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-L1	Object-Oriented Program Lab	Days: R	Time: 08:00 am-09:30 am	Room: OLRI 256	Instructor: STAFF	Avail./Max.: 16 / 16
Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-L2	Object-Oriented Program Lab	Days: R	Time: 09:40 am-11:10 am	Room: OLRI 256	Instructor: STAFF	Avail./Max.: 16 / 16
Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-L3	Object-Oriented Program Lab	Days: R	Time: 01:20 pm-02:50 pm	Room: OLRI 256	Instructor: Daniel Kluver	Avail./Max.: 16 / 16
Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 124-L4	Object-Oriented Program Lab	Days: R	Time: 03:00 pm-04:30 pm	Room: OLRI 256	Instructor: Daniel Kluver	Avail./Max.: 16 / 16
Details This course introduces the principles of software design and development using the object-oriented paradigm (OOP) and the Java programming language. Students will learn to use data structures such as lists, trees and hash tables and they will compare the efficiency of these data structures for a particular application. Students will learn to decompose a project using OOP principles. They will work with integrated development environments (IDEs) and version control systems. Students will practice their skills by creating applications in areas such as graphics, games, simulations, and natural language processing. There is a required 1.5 hour laboratory section associated with this course. Prerequisite(s): COMP 120 or COMP 123 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 221-01	Algorithm Design and Analysis	Days: TR	Time: 09:40 am-11:10 am	Room:	Instructor: Lian Duan	Avail./Max.: 25 / 25
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details An in-depth introduction to the design and analysis of algorithms. Topics may include algorithmic paradigms and structures, including recursion, divide and conquer, dynamic programming, greedy methods, branch and bound, randomized, probabilistic, and parallel algorithms, non-determinism and NP completeness. Applications to searching and sorting, graphs and optimization, geometric algorithms, and transforms. Prerequisite(s): COMP 124 and MATH 279, or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 221-02	Algorithm Design and Analysis	Days: TR	Time: 01:20 pm-02:50 pm	Room:	Instructor: Lauren Milne	Avail./Max.: 25 / 25
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details An in-depth introduction to the design and analysis of algorithms. Topics may include algorithmic paradigms and structures, including recursion, divide and conquer, dynamic programming, greedy methods, branch and bound, randomized, probabilistic, and parallel algorithms, non-determinism and NP completeness. Applications to searching and sorting, graphs and optimization, geometric algorithms, and transforms. Prerequisite(s): COMP 124 and MATH 279, or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 225-01	Software Design and Development	Days: MWF	Time: 01:10 pm-02:10 pm	Room: OLRI 245	Instructor: Paul Cantrell	Avail./Max.: 16 / 16
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course is an introduction to the problem of building software with humans and for humans. Students work in teams to design and implement a semester-long user-facing software project of their own invention. There are no limitations on topic or technology; on the contrary, students are responsible for imagining possibilities, articulating goals, and researching and selecting suitable technologies. The format resembles a studio art class, with in-class discussion guided by sharing and critiquing classmates' ongoing work. Topics include communication, division of labor, user-centered design, human-computer interaction, product management, project management, iterative development, engineering tradeoffs, separation of concerns, code readability and maintainability, refactoring, testing, and version control. Teams give a public demonstration of their working projects at the end of the semester. Prerequisite(s): COMP 124 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 225-02	Software Design and Development	Days: MWF	Time: 02:20 pm-03:20 pm	Room: OLRI 245	Instructor: Paul Cantrell	Avail./Max.: 16 / 16
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course is an introduction to the problem of building software with humans and for humans. Students work in teams to design and implement a semester-long user-facing software project of their own invention. There are no limitations on topic or technology; on the contrary, students are responsible for imagining possibilities, articulating goals, and researching and selecting suitable technologies. The format resembles a studio art class, with in-class discussion guided by sharing and critiquing classmates' ongoing work. Topics include communication, division of labor, user-centered design, human-computer interaction, product management, project management, iterative development, engineering tradeoffs, separation of concerns, code readability and maintainability, refactoring, testing, and version control. Teams give a public demonstration of their working projects at the end of the semester. Prerequisite(s): COMP 124 or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 240-01	Computer Systems Organization	Days: MWF	Time: 02:20 pm-03:20 pm	Room: OLRI 254	Instructor: Elizabeth Shoop	Avail./Max.: 12 / 12
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course familiarizes the student with the internal design and organization of computers. Topics include number systems, internal data representations, microarchitectures, the functional units of a computer system, memory, processor, and input/output structures, instruction sets and assembly language, addressing techniques, system software, and concurrency and parallelism. Prerequisite(s): COMP 124, or permission of instructor. MATH 236 recommended, but not required. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 240-02	Computer Systems Organization	Days: MWF	Time: 03:30 pm-04:30 pm	Room: OLRI 254	Instructor: Elizabeth Shoop	Avail./Max.: 12 / 12
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course familiarizes the student with the internal design and organization of computers. Topics include number systems, internal data representations, microarchitectures, the functional units of a computer system, memory, processor, and input/output structures, instruction sets and assembly language, addressing techniques, system software, and concurrency and parallelism. Prerequisite(s): COMP 124, or permission of instructor. MATH 236 recommended, but not required. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 261-01	Theory of Computation	Days: MWF	Time: 01:10 pm-02:10 pm	Room:	Instructor: Susan Fox	Avail./Max.: 25 / 25
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor; cross-listed with MATH 361-01 Details This course examines the theoretical foundations of computation. It explores different mathematical models that try to formalize our informal notion of an algorithm. Models include finite automata, regular expressions, grammars, and Turing machines. The course also discusses ideas about what can and cannot be computed. In addition, the course explores the basics of complexity theory, examining broad categories of problems and their algorithms, and their efficiency. The focus is on the question of P versus NP, and the NP-complete set. Prerequisite(s): COMP 124 and MATH 279, or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 302-01	Introduction to Database Management Systems	Days: TR	Time: 09:40 am-11:10 am	Room: OLRI 258	Instructor: Getiria Onsongo	Avail./Max.: 20 / 20
Permission of instructor required; first day attendance required; ACTC students may register on the first day of class, with permission of instructor Details This course will introduce students to the design, implementation, and analysis of databases stored in database management systems (DBMS). Topics include implementation-neutral data modeling, database design, database implementation, and data analysis using relational algebra and SQL. Students will generate data models based on real-world problems, and implement a database in a state-of-the-art DBMS. Students will master complex data analysis by learning to first design database queries and then implement them in a database query language such as SQL. Advanced topics include objects in databases, indexing for improved performance, distributed databases, and data warehouses. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 365-01	Computational Linear Algebra	Days: TR	Time: 08:00 am-09:30 am	Room: OLRI 254	Instructor: William Mitchell	Avail./Max.: 24 / 24
ACTC students may register on the first day of class, with permission of instructor; cross-listed with MATH 365-01 Details This course covers a central point of contact between mathematics and computer science. Many of the computational techniques important in science, commerce, and statistics are based on concepts from linear algebra: subspaces, projection, matrix decompositions, etc. The course reviews these concepts, adopts them to large scales, and applies them in the core techniques of scientific computing; solving systems of linear and nonlinear equations, approximation and statistical function estimation, optimization, interpolation, Monte Carlo techniques. Applications throughout the sciences and statistics. Prerequisite(s): COMP 120 or COMP 123, and MATH 236 General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 365-02	Computational Linear Algebra	Days: TR	Time: 09:40 am-11:10 am	Room: OLRI 254	Instructor: William Mitchell	Avail./Max.: 24 / 24
ACTC students may register on the first day of class, with permission of instructor; cross-listed with MATH 365-02 Details This course covers a central point of contact between mathematics and computer science. Many of the computational techniques important in science, commerce, and statistics are based on concepts from linear algebra: subspaces, projection, matrix decompositions, etc. The course reviews these concepts, adopts them to large scales, and applies them in the core techniques of scientific computing; solving systems of linear and nonlinear equations, approximation and statistical function estimation, optimization, interpolation, Monte Carlo techniques. Applications throughout the sciences and statistics. Prerequisite(s): COMP 120 or COMP 123, and MATH 236 General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 394-01	Software Testing	Days: TR	Time: 01:20 pm-02:50 pm	Room: OLRI 258	Instructor: Lian Duan	Avail./Max.: 20 / 20
Details Varies by semester. Consult the department or class schedule for current listing. General Education Requirements: Distribution Requirements: Course Materials
COMP 440-01	Collective Intelligence	Days: TR	Time: 09:40 am-11:10 am	Room:	Instructor: Shilad Sen	Avail./Max.: 20 / 20
Details This course introduces the theory and practice of data science applied to online communities such as Wikipedia, Facebook, and Twitter. Students will read and discuss recent academic research papers that analyze behavior on these websites and use computational simulation, machine learning, and data-mining techniques to analyze massive behavioral datasets in areas such as recommender systems, natural language processing, and tagging systems. Prerequisite(s): COMP 124 and COMP 221, or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 445-01	Parallel and Distributed Processing	Days: TR	Time: 03:00 pm-04:30 pm	Room: OLRI 254	Instructor: Elizabeth Shoop	Avail./Max.: 16 / 16
Details Many current computational challenges, such as Internet search, protein folding, and data mining require the use of multiple processes running in parallel, whether on a single multiprocessor machine (parallel processing) or on multiple machines connected together on a network (distributed processing). The type of processing required to solve such problems in adequate amounts of time involves dividing the program and/or problem space into parts that can run simultaneously on many processors. In this course we will explore the various computer architectures used for this purpose and the issues involved with programming parallel solutions in such environments. Students will examine several types of problems that can benefit from parallel or distributed solutions and develop their own solutions for them. Prerequisite(s): COMP 240 and COMP 221, or permission of instructor. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials
COMP 479-01	Network Science	Days: TR	Time: 03:00 pm-04:30 pm	Room: OLRI 245	Instructor: Andrew Beveridge	Avail./Max.: 15 / 15
ACTC students may register on the first day of class, with permission of instructor; cross-listed with MATH 479-01 Details The modern Information Age has produced a wealth of data about the complex networks that tie us together. In response, the field of Network Science has arisen, bringing together mathematics, computer science, sociology, biology, economics and other fields. This course will explore the fundamental questions and the mathematical tools of Network Science. This includes: the structure of complex networks, including connectedness, centrality and "long tails"; community detection; random/strategic models for network formation; diffusion/contagion and "tipping points" on networks; and algorithms for analyzing complex networks. Prerequisite(s): MATH 236 and MATH 379 and COMP 123. General Education Requirements: Distribution Requirements: Natural science and mathematics Course Materials

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