ALGORITHMS AND PROGRAMMING
- Course
- MISY223 - ALGORITHMS AND PROGRAMMING
- Department
- Master of Management Information Systems - English - Master
- Course Type
- Scientific Preparation
- Status
- Required
- Language
- English
- Credit
- 0
- ECTS
- 0
- T+P+L
- 0 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
- Keywords
- -
Course Description
-
ALGORITHMS AND PROGRAMMING
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Final Exam | Final | 40 |
| Midterm Exam | Midterm | 30 |
| Quiz | Quiz | 10 |
| Homework | Assignment | 10 |
| Lab | Assignment | 10 |
| Total | 100 | |
Course outcomes
- 01 Learn and enhance basics of algorithms - pseudocodes and flowcharts.
- 02 Improve computer programming abilities with arrays, structures, pointers, strings.
- 03 Implement popular searching and sorting algorithms.
- 04 Learn how to program using structured data.
- 05 Develop computer programs including file processing.
- 06 Analyse the complexity of an algorithm and software implementation.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction to Algorithms |
| Week 2 | Pseudocodes and Flowcharts |
| Week 3 | Structured Program Development and Program Control |
| Week 4 | Arrays, Sorting Algorithms on Arrays |
| Week 5 | Searching Algorithms on Arrays |
| Week 6 | Structures, Unions, Bit Manipulations and Enumerations |
| Week 7 | Midterm Examination |
| Week 8 | Midterm Examination |
| Week 9 | File Processing |
| Week 10 | Case Studies - Basic searching and sorting algorithms |
| Week 11 | Dictionaries |
| Week 12 | Characters and Strings |
| Week 13 | Complexity Analysis of Algorithms |
| Week 14 | Complexity Analysis of Algorithms |
| Week 15 | Final Exam |
Reference Books & Course Materials
- 01 John V. Guttag, Introduction to Computation and Programming Using Python, Third Edition, The MIT Press, 2021.
- 02 Thomas H. Cormen, Algorithms Unlocked, First Edition, The MIT Press, 2013.
Learning Outcomes
- L01 Learn and enhance basics of algorithms - pseudocodes and flowcharts.
- L02 Improve computer programming abilities with arrays, structures, pointers, strings.
- L03 Implement popular searching and sorting algorithms.
- L04 Learn how to program using structured data.
- L05 Develop computer programs including file processing.
- L06 Analyse the complexity of an algorithm and software implementation.
Program Outcomes
- Demonstrate advanced knowledge of core concepts and theoretical frameworks in Management Information Systems, and apply them to develop innovative models that reflect current advancements in the field.
- Analyze complex organizational problems and design integrated information systems solutions by applying advanced MIS knowledge and synthesizing multiple theoretical perspectives.
- Develop and manage database systems and data-driven applications that ensure effective storage, retrieval, and use of organizational data in real-world contexts.
- Utilize data analytics, business intelligence tools, and data visualization techniques to extract actionable insights and support strategic, data-driven decision-making.
- Evaluate and apply emerging technologies such as AI, IoT, and Blockchain to drive digital transformation, enhance organizational performance, and formulate original research inquiries.
- Conduct independent and collaborative research using appropriate methodologies, and communicate findings effectively through scholarly writing and presentations suited to diverse audiences.
- dentify and address ethical, legal, and societal implications in the research, development, and use of information technologies, adhering to scientific and professional standards.
- Collaborate effectively in multidisciplinary teams and demonstrate leadership in addressing complex technology-driven challenges.
- Apply project management methodologies and tools to plan, execute, and monitor IT projects within organizational settings.
- Develop and integrate information systems that align with organizational goals and strategies, supporting innovation and sustainable growth.
- Perform comprehensive systems analysis and design, including requirements gathering, modeling, prototyping, and evaluating enterprise system architectures such as ERP, CRM, and SCM.
- Assess and mitigate organizational information security risks by applying appropriate principles, technologies, and best practices in cybersecurity.
Po-Lo Matrix
| LO | Average | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| L01 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L02 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L03 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L04 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L05 | - | - | - | - | - | - | - | - | - | - | - | - | - |
| L06 | - | - | - | - | - | - | - | - | - | - | - | - | - |