Computer Science Minor

Computer Science Overview

At the Department of Computer Science at Clark University, we pride ourselves on creating an environment where students thrive, and opportunities abound. We don’t just see computer science as a means to develop the next big thing; we believe it’s a powerful tool for tackling complex challenges head-on. 

As a computer science student here, you’ll delve into theory and problem-solving skills that transcend disciplines. Our liberal arts curriculum fosters an understanding of how technology shapes our interconnected world, preparing you for meaningful roles in society, industry, or research. What makes us truly special? Our faculty are not only respected researchers but also dedicated mentors, eager to see you succeed. And with our small department size, you’ll find a supportive community reminiscent of small colleges, coupled with the resources of a larger university. 

But that’s not all. Our students have incredible opportunities at their fingertips. From collaborating with faculty on groundbreaking research to diving into innovative projects, serving as teaching assistants, and participating in exciting clubs like Clark Center for TIE (Technology, Innovation & Entrepreneurship), C4, and ACM, the possibilities are endless. And when it comes to landing dream jobs or securing spots in top graduate programs, our track record speaks for itself. Our graduates are making waves in leading companies, research labs, and universities worldwide, thanks in part to programs like Clark’s Accelerated Degree Program and the Columbia Combined Plan Program. 

Many of our students also pursue double majors or minors in diverse fields, from Data Science to Music, all while giving back to their communities, exploring entrepreneurship, and embarking on global adventures. 

Ready to take the next step? Visit the Department of Computer Science  website for more information and join us in shaping the future of technology! 

Minor Requirements

The computer science minor requires six courses:

• CSCI 120 - Introduction to Computing  OR CSCI 124 - Accelerated Introduction to Computing  
• CSCI 121 - Data Structures  
• 4 other courses in Computer Science (atleast one of these courses should be at the 200-level).  CSCI 122 - Introduction to Discrete Structures  (recommended for CS students) or  MATH 114 - Discrete Mathematics  may substitute for one of these courses.

Students looking to explore the computer science program can optionally take CSCI 103 - Introduction to Societal Computing  prior to taking CSCI 120  to get a gentle introduction to computing and its critical effects on the society. It is an optional course and does not count towards a student’s minor.

The introductory computer science courses are also part of the Clark Liberal Studies Core (CORE). More specifically, CSCI 120 , CSCI 121  and CSCI 124  are science perspective (SP) courses, and CSCI 122  (recommended for CS students) or MATH 114  are formal analysis (FA) courses. in addition to this, CSCI 103  fills both the diversity & inclusion (DI) as well as the formal analysis (FA) perspectives but does not count toward the minor.

Students must earn a minimum course grade of C- in order to receive major or minor credit in Computer Science. No course can be taken as pass/fail for the computer science major or minor.

Below are some sample course sequences for the computer science minor. You’re welcome to consult the computer science faculty and choose other courses that interest you.

Computer Science Faculty

John Magee, Ph.D., Chair

Kenneth Basye, Ph.D.

Li Han, Ph.D.

Gary Holness, Ph.D.

Shuo Niu, Ph.D.

Lewis Tseng, Ph.D.

Olufemi Odegbile, Ph.D.

Peter Story, Ph.D.

Pawan Gupta, M.S.

Catalin Veghes, M.S.

Computer Science Courses

Courses offered within the last 2 Academic Years

• CSCI 090 - Introduction to AI Technology and Prompt Engineering
• CSCI 103 - Introduction to Societal Computing
• CSCI 120 - Introduction to Computing
• CSCI 124 - Accelerated Introduction to Computing
• CSCI 121 - Data Structures
• CSCI 122 - Introduction to Discrete Structures
• CSCI 140 - Assembly Language And Computer Organization
• CSCI 160 - Algorithms
• CSCI 170 - Analysis Of Programming Languages
• CSCI 180 - Automata Theory
• CSCI 201 - Proseminar In Computer Science
• CSCI 210 - Artificial Intelligence
• CSCI 215 - Operating Systems
• CSCI 220 - Database Management And Systems Design
• CSCI 244 - Web Development
• CSCI 245 - Mobile Software Development
• CSCI 250 - Software Engineering
• CSCI 252 - Human-Computer Interaction
• CSCI 262 - Computer Vision
• CSCI 265 - Robotics and Intelligent Systems
• CSCI 268 - Internet of Things
• CSCI 270 - Theory of Computation
• CSCI 280 - Computer Networks
• CSCI 282 - Network Security
• MATH 212 - Numerical Analysis