The Associate ofScience in Computer Science program provides students with a comprehensiveeducation in the theory, design, programming, and application of computingsystems. The program covers a wide range of topics including softwaredevelopment, algorithms, data structures, computer architecture, and artificialintelligence. Through hands-on projects and coursework, students will developthe skills and knowledge necessary to pursue careers in software development,computer programming, system analysis, and other related fields.
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Upon completion of this program, the student will beable to:
· Demonstrate proficiency in programming languagessuch as Java, C++, and Python.
· Design and implement algorithms to solve complexcomputational problems.
· Analyze and evaluate software systems forefficiency, reliability, and security.
· Collaborate effectively in multidisciplinaryteams to develop computing solutions.
· Communicate technical information clearly andeffectively to both technical and non-technical audiences.
The Machine Learning program is designed to provide students with a comprehensiveunderstanding of the principles, algorithms, and applications of machinelearning. Through a combination of theoretical coursework and practicalhands-on projects, students will develop the skills necessary to analyze largedatasets, build predictive models, and extract meaningful insights from data.Our program aims to prepare students for careers in fields such as datascience, artificial intelligence, and machine learning engineering.
Course | Title | Units | Year/Semester (Y1 or S1) |
---|---|---|---|
CMPR112 | Java Programming | 3 | Y1 |
CMPR114 | Python Programming | 3 | Y1 |
CMPR115 | Python for Data Analytics | 3 | Y1 |
CMPR158 | Intro to AI | 3 | Y1 |
CMPR159 | Intro to Machine Learning | 3 | Y1 |
CMPR113 | Advanced Java Programming | 3 | S1 |
CMPR215 | Advanced Python Programming | 3 | S1 |
CMPR213 | C# Programming | 3 | S1 |
CMPR247 | Windows Server Operating Systems | 3 | S1 |
CMPR168 | MS SQL Database Development | 3 | S1 |
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