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Third Semester

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Learning Psychology

Learning Psychology introduces both foundational and advanced concepts of how individuals learn and process information, with an emphasis on applications within the field of information and communication technology (ICT). Key topics include learning theories, cognitive development, motivation, memory processes, instructional design, and the role of technology in enhancing learning experiences. Students engage in lectures and interactive sessions to apply these concepts, focusing on developing skills in creating effective educational strategies and materials. Activities involve designing learning modules, evaluating educational outcomes, and collaborating on projects that integrate technological tools into teaching practices. The course emphasizes best practices and explores current trends in learning psychology as they relate to ICT.

ED. 432

Chapters : 4+

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Data Structure and Algorithm

Data Structures and Algorithms introduces both foundational and advanced concepts critical to computer science and information technology. Key topics include fundamental data structures like arrays, linked lists, stacks, queues, trees, graphs, and hash tables, as well as algorithms for sorting, searching, recursion, and complexity analysis using Big O notation. Students engage in lectures and hands-on programming labs to apply these concepts, focusing on developing strong problem-solving and coding skills. Activities involve implementing various data structures, designing and optimizing algorithms, analyzing algorithm efficiency, and collaborating on projects that address real-world ICT challenges. The course emphasizes best practices and explores current trends in algorithm development and data management within the ICT industry.

ICT ED. 435

Chapters : 9+

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Microprocessor and Computer Organization

Microprocessor and Computer Organization introduces both foundational and advanced concepts of computer system design and functionality at the hardware level. Key topics include digital logic design, processor architecture, instruction sets, pipelining, memory hierarchy, input/output systems, and performance optimization. Students engage in lectures and hands-on labs to apply these concepts, focusing on understanding and analyzing the components of computer hardware. Activities involve designing digital circuits, exploring assembly language programming, and collaborating on projects related to system architecture. The course emphasizes best practices and explores current trends in computer architecture within the ICT field.

ICT ED. 436

Chapters : 3+

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Web Technology

Web Technology introduces both foundational and advanced concepts in web development and internet technologies. Key topics include HTML, CSS, JavaScript, web standards, client-server architecture, web frameworks, responsive design, web services, and security protocols. Students engage in lectures and hands-on projects to apply these concepts, focusing on developing practical skills in creating dynamic and interactive websites. Activities involve designing and implementing web applications, optimizing web performance, and collaborating on projects using modern development tools. The course emphasizes best practices and explores current trends in web development within the ICT field.

ICT ED. 437

Chapters : 10+

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Probability and Statistics

Probability and Statistics introduces both foundational and advanced concepts essential for data analysis in the field of information and communication technology (ICT). Key topics include probability theory, random variables, probability distributions, statistical inference, hypothesis testing, confidence intervals, regression analysis, and applications of statistical methods in ICT. Students engage in lectures and practical sessions to apply these concepts, focusing on developing strong analytical and quantitative skills. Activities involve solving statistical problems, analyzing real-world data sets, utilizing statistical software tools, and collaborating on projects that require statistical modeling and interpretation. The course emphasizes best practices and explores current trends in statistical analysis and data-driven decision-making within the ICT industry.

MATH ED. 436

Chapters : 8+

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21st Century Life Skill

21st Century Life Skills introduces both foundational and advanced concepts essential for thriving in today's rapidly evolving world. Key topics include critical thinking, problem-solving, effective communication, collaboration, creativity, digital literacy, adaptability, leadership, and emotional intelligence. Students engage in lectures and interactive workshops to apply these concepts, focusing on developing practical skills relevant to the modern workplace and society. Activities involve collaborative projects, real-world simulations, utilizing digital tools, and reflecting on personal and professional growth. The course emphasizes best practices and explores current trends in skill development necessary for success within the ICT industry and beyond.

ICT ED. 438

Chapters : 6+

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