2 Credits
Calculus II
Study of advanced integration techniques, sequences, series, and differential equations.
Computer Science (CS)
The CS program equips students with the foundational knowledge and practical skills on computer systems. The program emphasizes problem-solving, algorithmic thinking, programming, data structures, databases, AI and software engineering.
Overview
The Computer Science program equips students with the foundational knowledge and practical skills needed to design, develop, and analyze computer systems and software applications. The program emphasizes problem-solving, algorithmic thinking, and innovation across diverse areas such as programming, data structures, databases, artificial intelligence, software engineering, etc.
What you'll learn in the CS program
Gain valuable skills to take your career to the next level:
- Programming, algorithms, and database management
- Software engineering, networks, and cybersecurity.
- Artificial intelligence, data science, and web development.
- Operating Systems and Cloud Computing..
- Human-Computer Interaction, Project Management, and Ethics.
Admission requirements
Admission requires a Baccalaureate in the C or DEF series with a minimum score of 12/20, or a GCE A Level with at least 12 points, including a B grade in Physics and Mathematics.
Curriculum
CS Equip students with a good background to design and implement computing systems that solve real-world problems.
5 General Education Course
19 Major Education Course
4 Credits
Principles of Physics I
An introduction to the fundamental laws of physics, covering motion, forces, energy, momentum, and basic Newtonian mechanics. Students develop a strong scientific foundation for further studies in science and engineering.
6 Credits
Principles of Physics I Lab
Hands-on experiments to understand physical concepts through measurements, observations, and data analysis.
1 Credit
Programming & Problem Solving II
Intermediate programming course focusing on algorithms, data structures, and software design techniques.
Flexibility
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Specialized Curriculum
Computer Science degrees typically offer elective-rich structures and specializations (e.g., AI, Data Science, software engineering).
Adaptability to Career Goals
Computer Science departments often partner with tech companies, startups, and research labs to offer joint projects and guest lectures. These partnerships support real-world relevance, ensuring curricula align with market demands.
Tech-Enhanced Teaching
Faculty increasingly use technology-mediated instruction, including virtual labs, cloud-based platforms, and collaborative tools. Lecturers adapt to diverse student needs through peer programming and project-based learning.
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Questions regarding our academic programs offered at KFokam Institute of Excellence
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