Computer Science: Artificial Intelligence and Machine Learning Specialization, BS

Print Degree Planner (opens a new window) |

Contact Information

Jeff McGough, Department Head
Computer Science and Engineering
(605) 394-2722
Email: jeff.mcgough@sdsmt.edu
Department website: https://www.sdsmt.edu/cse/

Computer Science (BS) is accredited by the Computing Accreditation Commission of ABET, https://www.abet.org

CSC-AI Flowchart

Computer Science Curriculum/Checklist

For the bachelor of science in Computer Science, a student must:

Take all of the courses listed in the Computer Science curriculum checklist;
Have a departmental grade point average of at least 2.00 in all CSC courses 300 level or higher.
All baccalaureate degrees must satisfy the general education requirements mandated by the Board of Regents. Please see the General Education Requirements in this catalog.
Course requirements for the program also include the total number of credits per course. Any student that has an approved course for transfer will fulfill the course requirement, but if the transferred course does not meet the total credit hour requirement then the program committee will decide on the proper accommodation for meeting the total credit hour requirement. Students should consult with their advisor to get clarification on the necessary accommodation.

Students are responsible for checking with their advisors for any program modifications that may occur after the publication of this catalog

Freshman Year

First Semester

CSC 110 Survey of Computer Science and Engineering Credits: (1-0) 1
CSC 115 Test-Driven Software Development Credits: (3-0) 3 ²
ENGL 101 Composition I Credits: (3-0) 3 (Goal 1) ³
MATH 123 Calculus I Credits: (4-0) 4 (Goal 5) ³
CENG 244/244L Introduction to Digital Systems/Lab Credits: (3-0) 3

Total: 14

Second Semester

CSC 215 Programming Techniques Credits: (4-0) 4 ²
CSC 251 Finite Structures Credits: (3-0) 3
MATH 125 Calculus II Credits: (4-0) 4
Science Elective Credits: (3-0) 3 (Goal 6) ^1,3
Science Elective Lab Credits: (0-1) 1 (Goal 6) ^1,3

Total: 15

Sophomore Year

First Semester

CSC 315 Data Structures & Algorithms Credits: (4-0) 4 ²
CENG 320/320L RISC Assembly Credits: (4-0) 4 ²
MATH 225 Calculus III Credits: (4-0) 4
General Education Goal 3 or 4 Elective(s) Credits: 3 ³

Total: 15

Second Semester

CSC 340 Software Engineering and Design Credits: (3-0) 3
CSC 484 Database Management Systems Credits: (3-0) 3
ENGL 279 Communication in the STEM Workplace Credits: (3-0) 3 (Goal 1) ³
MATH 381 Introduction to Probability and Statistics Credits: (3-0) 3
PHYS 211 University Physics I Credits: 3 to 4 (Goal 6) ^1,3

Total: 15

Junior Year

First Semester

CSC 372 Analysis of Algorithms Credits: (3-0) 3
CENG 325 CPU & GPU Organization and Architecture Credits: (3-0) 3
ENGL 289 Explorations in STEM Communications Credits: (3-0) 3 (Goal 2) ³
MATH 315 Linear Algebra Credits: (3-0) 3
Science Elective 2 Credits: (3-0) 3 ¹
Science Elective Lab 2 Credits: (0-1) 1 ¹

Total: 16

Second Semester

CSC 458/458L Operating Systems and Virtual Machines/Lab Credits: (4-0) 4
AI/ML Elective Credits: 3 ⁴
MATH 382 Probability Theory and Statistics II Credits: (3-0) 3
General Education Goal 3 or 4 Elective(s) Credits: 6 ³

Total: 16

Senior Year

First Semester

CSC 461 Programming Languages Credits: (4-0) 4
CSC 448/548 Machine Learning Credits: (3-0) 3
CSC 464 Senior Design I Credits: (2-0) 2
AI/ML Elective Credits: 3 ⁴
Free Elective Credits: 3

Total: 15

Second Semester

CSC 465 Senior Design II Credits: (2-0) 2
CSC 468/568 Graphical User Interface Programming Credits: (3-0) 3
CSC 454/554 Data Mining Theory Credits: (3-0) 3
AI/ML Elective Credits: 3 ⁴
General Education Goal 3 or 4 Elective(s) Credits: 3 ³

Total: 14

120 credits required for graduation

Curriculum Notes

¹ Elective courses must be chosen to satisfy all of the following requirements.

The eleven credit science requirement for this major consists of PHYS 211 and two more lecture courses from among BIOL 151 , BIOL 153 , CHEM 112 , CHEM 114 , GEOL 201 , or PHYS 213 ; plus two labs that accompany the science courses taken, i.e., either BIOL 151L , BIOL 153L , CHEM 112L , CHEM 114L , GEOL 201L , or PHYS 213L . Students must complete science classes from at least two different disciplines.
CHEM 106 , CSC 105 , MATH 021 , MATH 101 , MATH 114 , MATH 115 , MATH 116/116L , MATH 120 , PHYS 111 , and PHYS 113 may not be counted towards the Computer Science degree.

² Must have a “C” or higher to move on to the proceeding course.

³ Fulfills General Education requirement. Students should consult the “General Education Requirements ” section of this catalog for a complete listing of all general education requirements.

⁴ Select nine (9) credits from: CSC 414/514 , CSC 424/524 , CSC 447/547 , CSC 449/549 , or MATH 443/543 . AI/ML Electives are not offered every semester. The student must meet with their advisor to make any needed adjustments in their schedule so they can fit the desired electives in. This may require swapping a General Education or Science requirement with the AI/ML elective they want to take.