Computer Science + Education: Learning Sciences, BS
for the degree of Bachelor of Science Major in Computer Science + Education, Learning Sciences concentration
The Computer Science + Education, BS is sponsored jointly by the Department of Computer Science and the Department of Curriculum & Instruction. The major in Computer Science and Education is a flexible program for undergraduate students who plan to pursue careers in either field and offers two foci of concentration.
The Learning Sciences concentration focuses on how technology can be designed and developed to further education. Social media, virtual and augmented reality, data analytics, mobile and wearable devices have created an opportunity to transform teaching and learning in both formal and informal contexts. This degree will prepare students for advanced study at the graduate level, as well as immediate entry into the workforce at software companies, publishers, school districts, game design companies, and research non-profits.
To graduate from the Computer Science and Education curriculum, a student must complete all courses with a traditional letter grade.
for the degree of Bachelor of Science Major in Computer Science + Education
To graduate from the Computer Science and Education curriculum, a student must complete all courses with a traditional letter grade.
In order to be recommended for licensure, candidates are required to maintain University of Illinois at Urbana-Champaign, cumulative, content area, and professional education grade point averages of 2.5 (A=4.0). Candidates in teaching licensure programs must maintain a C or better in ALL content and professional education coursework. Candidates should consult their adviser or the Council on Teacher Education for the list of courses used to compute these grade point averages. For teacher education licensure requirements applicable to all curricula, see the Council on Teacher Education.
Licensure requirements are subject to change without notice as a result of new mandates from the Illinois State Board of Education or the Illinois General Assembly.
| Code | Title | Hours |
|---|---|---|
| Orientation Seminar | ||
| EDUC 101 | Education Orientation Seminar | 1 |
The following degree requirements also meet general education course requirements and must be selected from the campus General Education course list.
| Code | Title | Hours |
|---|---|---|
| General Education Requirements | ||
| Composition | ||
| Composition I | 4-6 | |
| Advanced Composition | 3-4 | |
| Quantitative Reasoning | ||
| See Computer Science Core and Mathematical Foundations for specific requirement. | ||
| Natural Sciences and Technology | ||
| From approved campus list | 6 | |
| Humanities and the Arts | ||
| From approved campus list | 6 | |
| Social and Behavioral Sciences | ||
| From approved campus list | 6 | |
| Cultural Studies | ||
| Western Culture(s) from approved campus list | 3 | |
| U.S. Minority Culture(s) from approved campus list | 3 | |
| Non-Western Culture(s) from approved campus list | 3 | |
| Language other than English | ||
| Three years of one language other than English in high school or competion of the third semester of college-level language | 0-12 | |
| Computer Science Core Requirements (fulfills Quantitative Reasoning) | ||
| 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 |
| Choose 1 from: | 8-9 | |
| Computer Architecture and System Programming | ||
| OR | ||
| Introduction to Computer Systems | ||
& Two CS 4XX | Any two (2) 400-level CS courses | |
| Choose 1 from: | 3 | |
| Numerical Methods I | ||
| Programming Languages & Compilers | ||
| Mathematical Foundations (fulfills Quantitative Reasoning) | ||
| CS 361 | Probability & Statistics for Computer Science | 3 |
| MATH 220 | Calculus | 4-5 |
| or MATH 221 | Calculus I | |
| MATH 231 | Calculus II | 3 |
| Choose 1 from: | 2-3 | |
| Introductory Matrix Theory | ||
| Linear Algebra for Data Science | ||
| Linear Algebra with Computational Applications | ||
| Concentration | ||
| Students must complete 36-39 credit hours within one of the following areas of concentration: 1) Learning Science or 2) Secondary Education. | 36-39 | |
| Electives | ||
| Electives | 0-8 | |
| Total Hours | 120 | |
| Code | Title | Hours |
|---|---|---|
| College of Education Foundations | ||
| EPOL 201 | Foundations of Education | 3-4 |
| or EPOL 202 | Foundations of Education-ACP | |
| Choose 3 from: | 9-10 | |
| Language Varieties, Cultures and Learning | ||
| Race and Cultural Diversity | ||
| Educational Psychology | ||
| Child Development in Education | ||
| Psychology of Learning in Education | ||
| The Culture of Disability | ||
| Learning Sciences Core | ||
| CI 210 | Introduction to Digital Learning Environments | 3 |
| CI 489 | DELTA Capstone Project | 3 |
| Choose 1 from: | 3 | |
| Introduction to the Brain and Cognitive Science | ||
| Learning and Human Development with Educational Technology | ||
| Cognitive Psych | ||
| Learning and Memory | ||
| Brain, Learning, and Memory | ||
| Choose 2 from: | 6 | |
| Child Development & Technology | ||
| Social Learning and Multimedia | ||
| Personality and Soc Dev | ||
| Adult Learning and Development | ||
| Developments in Educational Psychology (Learning in Everyday Contexts) | ||
| Choose 3 from: | 9 | |
| Educational Game Design | ||
| Computer Programming and the Classroom | ||
| Critiques of Educational Technology | ||
| Issues and Development in Education (Attention, Learning, and New Technology) | ||
| Issues and Development in Education (Designing Learning Spaces) | ||
| Total Hours | 36-38 | |
for the degree of Bachelor of Science Major in Computer Science + Education, Learning Sciences concentration