Computer Science + Animal Sciences, BS

for the degree of Bachelor of Science Major in Computer Science + Animal Sciences

Computer Science + Animal Sciences (CS + ANSC) is a first-of-its-kind partnership between The Grainger College of Engineering’s Department of Computer Science and the Department of Animal Sciences in ACES. Students will be prepared to work with sensor technology, large data sets, and predictive analytics, all aimed at improving the health and well-being of production animals and pets.

for the degree of Bachelor of Science Major in Computer Science + Animal Sciences

Graduation Requirements
Minimum hours required for graduation: 126 hours.

University Requirements
Minimum of 40 hours of upper-division coursework, generally at the 300 and 400 level. These hours can be drawn from all elements of the degree. Students should consult their academic advisor for additional guidance in fulfilling this requirement.

The university and residency requirements can be found in the Student Code (§ 3-801) and in the Academic Catalog.

General Education Requirements
Follows the campus General Education (Gen Ed) requirements. Some Gen Ed requirements may be met by courses required and/or electives in the program.

Course List
Code	Title	Hours
Composition I		4-6
Advanced Composition		3
Humanities & the Arts (6 hours)		6
Natural Sciences & Technology (6 hours)		6
fulfilled by CHEM 102 & CHEM 104
Social & Behavioral Sciences (6 hours)		6
fulfilled by ECON 102 or ACE 100 and one more course approved as Social & Behavioral Sciences
Cultural Studies: Non-Western Cultures (1 course)		3
Cultural Studies: US Minority Cultures (1 course)		3
Cultural Studies: Western/Comparative Cultures (1 course)		3
Quantitative Reasoning (2 courses, at least one course must be Quantitative Reasoning I)		6-8
fulfilled by MATH 220 or MATH 221, MATH 231, CS 124, CS 128, and CS 225
Language Requirement (Completion of the third semester or equivalent of a language other than English is required)		0-15

Course List
Code	Title	Hours
Department Foundation
Communication Option:		3 or 6
CMN 101	Public Speaking
ALEC 115	Let’s Talk about Food, Agriculture, and the Environment
CMN 111 & CMN 112	Oral & Written Comm I and Oral & Written Comm II
CHEM 102 & CHEM 103	General Chemistry I and General Chemistry Lab I	4
CHEM 104 & CHEM 105	General Chemistry II and General Chemistry Lab II	4
ECON 102	Microeconomic Principles	3 or 4
or ACE 100	Introduction to Applied Microeconomics
MATH 220	Calculus	4 or 5
or MATH 221	Calculus I
MATH 225	Introductory Matrix Theory	2 or 3
or MATH 257	Linear Algebra with Computational Applications
MATH 231	Calculus II	3
CS 361	Probability & Statistics for Computer Science	3
Computer Sciences Core
CS 100	Computer Science Orientation	1
CS 124	Introduction to Computer Science I	3
CS 128	Introduction to Computer Science II	3
CS 173	Discrete Structures	3
CS 222	Software Design Lab	1
CS 225	Data Structures	4
CS 374	Introduction to Algorithms & Models of Computation	4
CS 357	Numerical Methods I	3 or 4
or CS 421	Programming Languages & Compilers
Computer Science Technical Track (two options)
CS 233 & CS 341	Computer Architecture and System Programming
OR
CS 340	Introduction to Computer Systems
& Two 400-level CS courses	Any two (2) 400-level CS courses above CS 403 except CS 421 and CS 491
Animal Sciences Core
ANSC 100	Intro to Animal Sciences	4
ANSC 221	Cells, Metabolism and Genetics	3
ANSC 222	Anatomy and Physiology	3
ANSC 223	Animal Nutrition	3
ANSC 224	Animal Reproduction and Growth	4
ANSC 398	UG Experiential Learning (must be taken for a letter grade)	1
ANSC 498	Integrating Animal Sciences	2
Applied Animal Sciences Courses (choose 3)		9
ANSC 201	Principles of Dairy Production
ANSC 205	World Animal Resources
ANSC 206	Horse Management
ANSC 211	Meat Animal Evaluation
ANSC 250	Companion Animals in Society
ANSC 301	Food Animal Production, Management, and Evaluation
ANSC 305	Human Animal Interactions
ANSC 307	Companion Animal Management
ANSC 309	Meat Production and Marketing
ANSC 310	Meat Selection and Grading
ANSC 312	Advanced Livestock Evaluation
ANSC 313	Horse Appraisal
ANSC 314	Adv Dairy Cattle Evaluation
ANSC 322	Livestock Feeds and Feeding
ANSC 370	Companion Animal Policy
ANSC 400	Dairy Herd Management
ANSC 401	Beef Production
ANSC 402	Sheep and Goat Production
ANSC 403	Pork Production
ANSC 404	Poultry Science
ANSC 407	Animal Shelter Management
ANSC 424	Pet Food & Feed Manufacturing
ANSC 435	Milk Quality and Udder Health
ANSC 470	Companion Animal Cruelty Investigations
ANSC 471	ANSC Leaders & Entrepreneurs
ANSC 500	Feeds in Dairy Nutrition and Diet Formulation
ANSC 501	Nutritional Impact on Cow Health and Disorders
ANSC 502	What is Milk and Milk Quality
ANSC 580	Artificial Intelligence and Computer Vision for Precision Management
Basic Animal Sciences Courses (choose 3)		9
ANSC 251	Epidemics and Infectious Diseases
ANSC 306	Equine Science
ANSC 350	Principles of Biochemistry in Animals
ANSC 363	Behavior of Domestic Animals
ANSC 366	Animal Behavior
ANSC 406	Zoo Animal Conservation Sci
ANSC 409	Meat Science
ANSC 420	Ruminant Nutrition
ANSC 421	Minerals and Vitamins
ANSC 422	Companion Animal Nutrition
ANSC 431	Advanced Reproductive Biology
ANSC 438	Lactation Biology
ANSC 440	Applied Statistical Methods I
ANSC 441	Human Genetics
ANSC 444	Applied Animal Genetics
ANSC 445	Statistical Methods
ANSC 446	Population Genetics
ANSC 449	Biological Modeling
ANSC 450	Comparative Immunobiology
ANSC 451	Microbes and the Anim Indust
ANSC 452	Animal Growth and Development
ANSC 454	Neuroimmunology
ANSC 464	Physiology of Animal Stress & Disease
ANSC 467	Applied Animal Ecology
ANSC 480	Introduction to Coding and Precision Management
ANSC 520	Protein and Energy Nutrition
ANSC 521	Regulation of Metabolism
ANSC 522	Advanced Ruminant Nutrition
ANSC 523	Techniques in Animal Nutrition
ANSC 524	Nonruminant Nutrition Concepts
ANSC 525	Topics in Nutrition Research
ANSC 526	Adv Companion Animal Nutrition
ANSC 533	Repro Physiology Lab Methods
ANSC 541	Regression Analysis
ANSC 542	Applied Bioinformatics
ANSC 543	Bioinformatics

Course List
Code	Title	Hours
Total Hours		126

for the degree of Bachelor of Science Major in Computer Science + Animal Sciences

Sample Sequence

This sample sequence is intended to be used only as a guide for degree completion. All students should work individually with their academic advisors to decide the actual course selection and sequence that works best for them based on their academic preparation and goals. Enrichment programming such as study abroad, minors, internships, and so on may impact the structure of this four-year plan. Course availability is not guaranteed during the semester indicated in the sample sequence.

Students must fulfill their Language Other Than English requirement by successfully completing a third level of a language other than English. See the corresponding section on the Degree and General Education Requirements page.

First Year
First Semester	Hours	Second Semester	Hours
CS 100	1	CS 128	3
CS 124	3	CS 173	3
MATH 220 or 221	4	MATH 231	3
Composition I or Communication Option	4	CHEM 102	3
ANSC 100	4	CHEM 103	1
		Composition I or Communication Option	3
	16		16
Second Year
First Semester	Hours	Second Semester	Hours
CS 222	1	Language Other than English (3rd level)	4
CS 225	4	CS 233 or 340	3
CHEM 104	3	ANSC 223	3
CHEM 105	1	ANSC 224	4
ANSC 221	3	Applied Animal Sciences course	3
ANSC 222	3
ANSC 398	1
	16		17
Third Year
First Semester	Hours	Second Semester	Hours
MATH 225 or 257	2	CS 361	3
Basic Animal Sciences course	3	CS 374	4
Applied Animal Sciences course	3	Free Elective Course or CS 4XX	4
General Education course	3	ECON 102 or ACE 100	3
CS 341 (or CS 4XX)	4	General Education course	3
	15		17
Fourth Year
First Semester	Hours	Second Semester	Hours
CS 357 or 421	3	ANSC 498	2
Basic Animal Sciences course	3	Basic Animal Sciences course	3
Applied Animal Sciences course	3	General Education course	3
General Education course	3	General Education course	3
General Education course	3	General Education course	3
	15		14
Total Hours 126

for the degree of Bachelor of Science Major in Computer Science + Animal Sciences

Students will be prepared to work with sensor technology, large data sets, and predictive analytics, all aimed at improving the health and well-being of production animals and pets.

for the degree of Bachelor of Science Major in Computer Science + Animal Sciences

Please see the Computer Science advisor in 1210 Siebel Center, as well as the Animal Sciences Undergraduate Curriculum Coordinator, Dr. David Miller, 116 Animal Sciences Lab.