• ## Essential Units for OTHM Accredited BEng Software Engineering Online Course **Module 1: Introduction to Software Engineering
• im_introduction_to_software_engineering** • Introduction to software engineering, its scope, and the role of software developers. • **im_what_is_software_engineering** • What is software engineering? A comprehensive overview of the software engineering process, from requirements gathering to system testing. **Module 2: Programming Fundamentals
• im_programming_fundamentals** • Basic programming concepts, including variables, data types, operators, control flow, and functions. • **im_data_structures_algorithms** • Introduction to fundamental data structures (arrays, linked lists, stacks, queues) and algorithms (sorting, searching, recursion). **Module 3: Problem-Solving and Algorithm Design
• im_problem_solving_techniques** • Different problem-solving techniques, including greedy algorithms, dynamic programming, and backtracking. • **im_design_algorithms** • Algorithm design principles, including time complexity analysis, space complexity analysis, and algorithm trade-offs. **Module 4: Data Structures and Algorithms in Practice
• im_data_structures_algorithms_implementation** • Practical implementation of common data structures and algorithms in Python. • **im_implementation_of_algorithms** • Applying algorithms to solve real-world problems, including sorting, searching, and graph algorithms. **Module 5: Software Development Process and Tools
• im_software_development_process** • The software development life cycle (SDLC), from requirements gathering to deployment. • **im_popular_software_development_tools** • Introduction to popular software development tools and frameworks (e.g., Python, Java, SQL, Git). **Module 6: Software Testing and Quality Assurance
• im_software_testing_importance** • The importance of testing in software development and quality assurance. • **im_software_testing_methods** • Different testing methods, including unit testing, integration testing, and system testing. **Module 7: Introduction to Databases
• im_introduction_to_databases** • What is a database? Types of databases (relational, NoSQL), SQL, and database management systems (DBMS). • **im_sql_fundamentals** • Basic SQL syntax, data types, operators, and queries. **Module 8: Relational Databases
• im_relational_database_fundamentals** • Relational database concepts, relational model, data integrity, and normalization. • **im_sql_queries_relational_db** • Performing different SQL queries for data retrieval, insertion, and update operations. **Module 9: Advanced SQL and Data Manipulation
• im_advanced_sql_concepts** • Advanced SQL topics like joins, subqueries, and window functions. • **im_data_manipulation_techniques** • Data manipulation techniques for cleaning, transforming, and analyzing data. **Module 10: Introduction to Software Engineering Tools and Technologies
• im_software_engineering_tools** • Popular software engineering tools and technologies (e.g., version control, build automation, testing frameworks). • **im_introduction_to_cloud_computing** • Cloud computing models (IaaS, PaaS, SaaS), cloud platforms (AWS, Azure, Google Cloud), and cloud-based software development.

Assessment

The assessment is done via submission of assignment. There are no written exams.