The Computing for Creatives Concentration is intended for students who seek to work at the interface of computer science and creative fields such as film, theater, art and design. The concentration combines the core computing curriculum with computationally-focused study in creative fields.
Learning Objectives
Upon successful completion, students will be able to:
- Demonstrate proficiency in most core areas of computer science and have a thorough grounding in the key principles and practices of computing.
- Utilize advanced computing skills to create artifacts such as art, film, games, and 3D simulations that interact with people visually and aurally.
- Demonstrate design, narrative, and human factors skills required to create those artifacts.
- Communicate ideas effectively, both generally and with regard to computing and technology.
- Confidently pursue graduate studies or professional employment in both computer science and fields combining computing and the creative arts.
Effective Fall 2024
A minimum grade of C (2.000) is required in CO 150 and in all CS, DSCI, MATH, STAT and IDEA courses which are required for graduation.
| Freshman | |||
|---|---|---|---|
| AUCC | Credits | ||
| CO 150 | College Composition (GT-CO2) | 1A | 3 |
| CS 201/PHIL 201 | Ethical Computing Systems (GT-AH3) | 3B | 3 |
| MATH 156 or 1601 | Mathematics for Computational Science I (GT-MA1) Calculus for Physical Scientists I (GT-MA1) | 1B | 4 |
| Select one group from the following:2 | 4-7 | ||
Group A | |||
| Culture and Coding: Java (GT-AH3) Culture and Coding: Python (GT-AH3) | 3B | ||
| CS1--Introduction to Java Programming CS1--Computational Thinking with Java | |||
Group B | |||
| Python for STEM | |||
| CS1--Introduction to Java Programming CS1--Computational Thinking with Java | |||
Group C | |||
| CS1---No Prior Programming Experience | |||
| Select at least two courses totaling a minimum of 7 credits from the following (one course must be or include the sequenced laboratory): | 7 | ||
| Introduction to Astronomy (GT-SC2) | 3A | ||
| Human Origins and Variation (GT-SC2) | 3A | ||
| Principles of Animal Biology (GT-SC2) | 3A | ||
| Principles of Plant Biology (GT-SC1) | 3A | ||
| Fundamentals of Chemistry (GT-SC2) | 3A | ||
| General Chemistry I (GT-SC2) | 3A | ||
| Geology and Society (GT-SC2) | 3A | ||
| Geoscience--Climate and Environmental Change (GT-SC2) | 3A | ||
| Earth Resources and Sustainability (GT-SC2) | 3A | ||
| Dynamic Earth (GT-SC2) | 3A | ||
| Honors Seminar: Knowing in the Sciences | 3A | ||
| Attributes of Living Systems (GT-SC1) | 3A | ||
| Biology of Organisms-Animals and Plants (GT-SC1) | 3A | ||
| Introductory Genetics: Applied/Population/Conservation/Ecological (GT-SC2) | 3A | ||
| Introductory Genetics: Molecular/Immunological/Developmental (GT-SC2) | 3A | ||
| Fundamentals of Ecology (GT-SC2) | 3A | ||
| Oceanography (GT-SC2) | 3A | ||
| General Physics I (GT-SC1) | 3A | ||
| General Physics II (GT-SC1) | 3A | ||
| Physics for Scientists and Engineers I (GT-SC1) | 3A | ||
| Physics for Scientists and Engineers II (GT-SC1) | 3A | ||
| Diversity, Equity, and Inclusion | 1C | 3 | |
| Electives3 | 3-6 | ||
| Total Credits | 30 | ||
| Sophomore | |||
| CS 165 | CS2--Data Structures | 4 | |
| CS 220 | Discrete Structures and their Applications | 4 | |
| IDEA 210 | Introduction to Design Thinking (GT-AH1) | 3B | 3 |
| Select one group from the following: | 4-5 | ||
Group A | |||
| Software Development | |||
| C++ Fundamentals | |||
Group B | |||
| Software Development with C++ | |||
| Select one course from the following: | 2-4 | ||
| Linear Algebra for Data Science | |||
| Geometric Introduction to Linear Algebra | |||
| Linear Algebra I | |||
| Select one course from the following: | 1-3 | ||
| Introduction to Applied Statistical Methods | |||
| Statistics Supplement: General Applications | |||
| Introduction to Biostatistics | |||
| Intro to Theory and Practice of Statistics | |||
| Historical Perspectives | 3D | 3 | |
| Social and Behavioral Sciences | 3C | 3 | |
| Electives | 0-5 | ||
| Total Credits | 29 | ||
| Junior | |||
| CS 250 | Computer Systems Foundations | 4 | |
| CS 314 | Software Engineering | 4A,4B | 3 |
| CS 320 | Algorithms--Theory and Practice | 3 | |
| CS 345 | Machine Learning Foundations and Practice | 3 | |
| CS course numbered 300- or above, excluding 386-399 and 486-499 | 3-4 | ||
| Advanced Writing | 2 | 3 | |
| Electives | 10-11 | ||
| Total Credits | 30 | ||
| Senior | |||
| Capstone Course - Select one course from the following: | 4 | ||
| Engaging in Virtual Worlds | 4C | ||
| Principles of Human-Computer Interaction | 4C | ||
| Design Thinking - Select a minimum of nine credits from the following courses: | 9 | ||
| Design Thinking Toolbox: Mixed Reality Design | |||
| Design Thinking Toolbox : Creating Things That Think | |||
| Design Thinking Toolbox: Digital Interaction and Game Design | |||
| Design Thinking Toolbox: 3D Animation and Storytelling | |||
| Design Thinking Collaborative | |||
| Designing for Defense | |||
| Two CS courses numbered 400- or above, excluding 486-499 | 8 | ||
| Electives4 | 10 | ||
| Total Credits | 31 | ||
| Program Total Credits: | 120 | ||
- 1
- 2
- 3
CS 192 or other seminar course is a recommended elective for incoming first semester students.
- 4
Select enough elective credits to bring the program total to a minimum of 120 credits, of which at least 42 must be upper-division (300- to 400-level).
Distinctive Requirements for Degree Program:
To prepare for first semester: The curriculum for the Computer Science major assumes students enter college prepared to take calculus. Entering students who are not prepared to take calculus will need to fulfill pre-calculus requirements in the first semester. All students must maintain a C (2.000) or better in CO 150 and in all CS, DSCI, MATH, STAT, and IDEA courses which are required for graduation.
| Freshman | |||||
|---|---|---|---|---|---|
| Semester 1 | Critical | Recommended | AUCC | Credits | |
| CO 150 | College Composition (GT-CO2) | X | 1A | 3 | |
| First course from Group A, B, or C (See options in Concentration Requirements Tab) | X | 2-4 | |||
| Department Approved Science (See list on Concentration Requirements Tab) | X | 3A | 3 | ||
| Diversity, Equity, and Inclusion | X | 1C | 3 | ||
| Elective | X | 2-4 | |||
| MATH 124 and MATH 126 may be necessary for some students to fulfill pre-calculus requirements. | X | ||||
| Total Credits | 15 | ||||
| Semester 2 | Critical | Recommended | AUCC | Credits | |
| CS 201/PHIL 201 | Ethical Computing Systems (GT-AH3) | X | 3B | 3 | |
| MATH 156 or 160 | Mathematics for Computational Science I (GT-MA1) Calculus for Physical Scientists I (GT-MA1) | X | 1B | 4 | |
| Remaining course(s) from Group A, B, or C (See options in Concentration Requirements Tab) | X | 0-4 | |||
| Department Approved Science with Lab (See list on Concentration Requirements Tab) | X | 3A | 4 | ||
| CO 150 must be completed by the end of Semester 2 with a grade of C or better. | X | ||||
| Elective | 0-4 | ||||
| Total Credits | 15 | ||||
| Sophomore | |||||
| Semester 3 | Critical | Recommended | AUCC | Credits | |
| CS 165 | CS2--Data Structures | X | 4 | ||
| CS 220 | Discrete Structures and their Applications | X | 4 | ||
| IDEA 210 | Introduction to Design Thinking (GT-AH1) | X | 3B | 3 | |
| Select one course from the following: | X | 1-3 | |||
| Introduction to Applied Statistical Methods | |||||
| Statistics Supplement: General Applications | |||||
| Introduction to Biostatistics | |||||
| Intro to Theory and Practice of Statistics | |||||
| Historical Perspectives | X | 3D | 3 | ||
| Total Credits | 15-17 | ||||
| Semester 4 | Critical | Recommended | AUCC | Credits | |
| Select one group from the following: | X | 4-5 | |||
| Group A | |||||
| Software Development | |||||
| C++ Fundamentals | |||||
| Group B | |||||
| Software Development with C++ | |||||
| Select one course from the following: | X | 2-4 | |||
| Linear Algebra for Data Science | X | ||||
| Geometric Introduction to Linear Algebra | |||||
| Linear Algebra I | X | ||||
| Social and Behavioral Sciences | X | 3C | 3 | ||
| Electives | X | 0-5 | |||
| CS 165 and CS 220 and CS 270 must be completed by the end of Semester 4. | X | ||||
| MATH 156 or MATH 160 and MATH 269 or MATH 369 or DSCI 369 must be completed by the end of Semester 4. | X | ||||
| Total Credits | 12-14 | ||||
| Junior | |||||
| Semester 5 | Critical | Recommended | AUCC | Credits | |
| CS 314 | Software Engineering | X | 4A,4B | 3 | |
| CS 320 | Algorithms--Theory and Practice | X | 3 | ||
| Advanced Writing | X | 2 | 3 | ||
| Electives | X | 5 | |||
| Total Credits | 14 | ||||
| Semester 6 | Critical | Recommended | AUCC | Credits | |
| CS 250 | Computer Systems Foundations | X | 4 | ||
| CS 345 | Machine Learning Foundations and Practice | X | 3 | ||
| CS courses numbered 300- or above, excluding 380-399 and 480-499 | X | 3-4 | |||
| Electives | X | 5-6 | |||
| CS 314 and CS 320 and CS 345 must be completed by the end of Semester 6. | X | ||||
| Total Credits | 16 | ||||
| Senior | |||||
| Semester 7 | Critical | Recommended | AUCC | Credits | |
| CS 462 or 464 | Engaging in Virtual Worlds Principles of Human-Computer Interaction | X | 4C | 4 | |
| CS course numbered 400- or above, excluding 480-499 | X | 4 | |||
| Design thinking Courses (see list on Program Requirements tab) | X | 9 | |||
| At least 2 Upper-Division CS classes must be completed by the end of Semester 7. | X | ||||
| Total Credits | 17 | ||||
| Semester 8 | Critical | Recommended | AUCC | Credits | |
| CS*** Course numbered 400- or above | X | 4 | |||
| Electives | X | 10 | |||
| The benchmark courses for the 8th semester are the remaining courses in the entire program of study. | X | ||||
| Total Credits | 14 | ||||
| Program Total Credits: | 120 | ||||