PROGRAMME LEARNING OUTCOMES |
LEARNING & TEACHING METHODS |
ASSESMENT & GRADING METHODS |
KNOWLEDGE |
(Described in terms of theoretical and factual knowledge) |
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Learning the theory of the constructs such as Advanced Neural Networks, Evolutionary Optimization, Advanced Machine Learning, Advanced Digital Image Processing, Advanced Cryptography, Data Analytics, Advanced Data Mining, Advanced mathematics for engineering studies |
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GAining knowledge on recent research through literature search and project or report submission assignment on the newly published papers on the theoretical knowledge covered |
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- Lecture & In-Class Activities
- Assignment (Homework)
- Project Work
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- Mid-Term Exam
- Computer Based Presentation
- Homework Assessment
- Year-End Final Exam
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SKILLS |
(Described in terms of cognitive and practical skills)
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Being able to prepare reports based on research |
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Being able to present personally implemented work |
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Implementing programming assignments |
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- Occupational Activity
- Field Study
- Report Writing
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PERSONAL & OCCUPATIONAL COMPETENCES IN TERMS OF EACH OF THE FOLLOWING GROUPS |
Autonomy & Responsibility |
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Self contained reserach |
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Being able to present personally conducted research and implementation results |
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- Project Work
- Implementation/Application/Practice
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- Computer Based Presentation
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Learning to Learn |
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research |
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practical programming implementation |
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- Project Work
- Implementation/Application/Practice
- Field Study
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Communication & Social |
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Being able to express results of conducted research |
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Being able to express results of programming implementation |
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- Computer Based Presentation
- Presentation of Document
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Occupational and/or Vocational |
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Learning methods for data analysis, advanced statistics |
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Learning programming with new programming languages such as Python |
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- Lecture & In-Class Activities
- Reading
- Assignment (Homework)
- Project Work
- Implementation/Application/Practice
- Report Writing
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- Computer Based Presentation
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