About Computer Science - Bangkok, Thailand, BSc - at Harbour.Space University
Computer Science BSc programme is rooted in mathematics and engineering, while our innovative department optimises the programme’s relevance by including disciplines such as linguistics, psychology, economics, physics, and music. These programmes are geared towards developing students’ professional skills needed for employment while also being able to adapt to rapidly changing technology while working effectively, professionally, and ethically in computing-related professions, as demonstrated by their communications, teamwork, and leadership skills.
Year 1 | In the first year, students obtain the foundational knowledge in mathematics and the basics of programming upon which students will develop an understanding of programming and computer science during the following years. The courses are mostly given in a form of lectures and takeaway coursework. By the end of this year, students will be able to write programmes and use primary computer science tools.
- Combinatorics and Graphs
- Foundations of Programming: C/C++
- Calculus – 1
- Practical Unix
- Linear Algebra - 1
- Algorithms and Data Structures – 1
- Combinatorics and Graphs – 2
- Object Oriented Programming: Python
- Calculus – 2
- Algorithms and Data Structures – 2
- Linear Algebra – 2
- Computer Organisation and Systems
- Combinatorics and Graphs – 3
- Operating Systems
- Calculus – 3
Year 2 | In the second year, the students will be offered both math courses in the field of discrete mathematics and courses in the field of software development and programming languages. Most courses require practical coursework and a course project enabling students to get a feel for the challenges and approaches used in this field. By the end of this year, students will be able to write programmes and use primary computer science tools.
- Introduction to Probability
- Introduction to Statistics
- Java Programming
- Foundations of Mathematical Logic
- Functional Programming
- Introduction to Optimization
- Machine Learning – 1
- Formal Language Theory
- Compilers
- Introduction to Computer Networking
- Database Systems Principles
- Computational Complexity Theory
- Introduction to Cryptography
- Extremal Problems
- Web Applications
Year 3 | In the third year, students will primarily focus on key computer science subjects including computational theory and cryptography. The practical side of the programme is focused on an in-depth understanding of parallel computing, databases, and compilers. At the end of the third year, students will have sufficient theoretical and programming background to tackle computer science problems in professional real-world scenarios. The courses are taught by researchers and professionals who practice the courses they teach either academically or by sharing their professional experiences in their field. The goal of the final year is to expose students to a range of real-world applications of the material that they've learned to ensure a seamless transition into a professional role.
- Information Theory
- Software Engineering
- Computational Geometry
- Machine Learning – 2
- Parallel and Distributed Computing
- Bioinformatics
- Computer Graphics
- Computer Vision
- Introduction to Robotics
- Software Development Process
- Computational Genomics
- Mobile Application Development
- Technical Project Management
- Algorithms in Bioinformatics
- Data Visualization
- Software Testing, Verification, and Validation
- Leadership and Group Dynamics
- Writing, Documentation, TeX, JavaDoc, Academic
- Numerical Methods
Open University - Short Courses
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The Open University offers studies to everyone with no enrollment restrictions. Courses begin every three weeks throughout the year, corresponding to Harbour.Space University’s degree programmes.
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