Fundamentals of SDLC & SDLC Models

Teacher

Naznin

Course Description

The “Fundamentals of SDLC and SDLC Models” online course is designed to provide participants with a comprehensive understanding of Software Development Life Cycle (SDLC) principles and various SDLC models commonly used in the industry. Participants will learn about the phases of SDLC, including requirements gathering, analysis, design, implementation, testing, deployment, and maintenance. The course covers popular SDLC models such as Waterfall, Agile, Spiral, V-Model, Incremental, RAD, Prototype, Iterative and RUP with a focus on their strengths, weaknesses, and suitability for different project types. This course aims to equip learners with the foundational knowledge necessary to effectively manage software development projects and make informed decisions throughout the development lifecycle. This online course is delivered through a series of video lectures, quizzes, and discussion forum. Participants will have access to interactive learning materials and resources, enabling them to grasp theoretical concepts and apply them in practical scenarios.

Fundamentals of SDLC & SDLC Models Course Objectives:

1. Understanding of SDLC Concepts: Participants will gain a solid understanding of the concept of SDLC, its importance in software development, and its role in ensuring the successful delivery of software projects.
2. Knowledge of SDLC Phases: Participants will be able to identify and describe the various phases of the SDLC, including requirements gathering, analysis, design, implementation, testing, deployment, and maintenance.
3. Familiarity with SDLC Models: Participants will learn about different SDLC models such as Waterfall, Agile, Iterative, Spiral, and DevOps. They will understand the characteristics, advantages, and disadvantages of each model and their suitability for different types of projects.
4. Ability to Select and Apply SDLC Models: Participants will develop the skills to evaluate project requirements, stakeholder needs, and organizational constraints to select an appropriate SDLC model for a given project. They will learn how to tailor and adapt SDLC models to meet project-specific requirements.
5. Knowledge of Best Practices: Participants will learn industry best practices related to each phase of the SDLC, including requirements management, design principles, coding standards, testing methodologies, and deployment strategies.
6. Understanding of Risk Management: Participants will understand the importance of risk management in software development and learn how to identify, assess, mitigate, and monitor risks throughout the SDLC process.
7. Effective Communication and Collaboration: Participants will develop communication and collaboration skills necessary for effective teamwork within multidisciplinary project teams. They will learn how to facilitate communication between stakeholders, manage conflicts, and foster collaboration to achieve project goals.
8. Practical Application: Participants will be able to apply theoretical knowledge to real-world scenarios through case studies and projects.

Target Audience of Fundamentals of SDLC & SDLC Models Course:

1. Software Development Professionals
2. Computer Science Students
3. Quality Assurance/Test Engineers
4. Business Analysts
5. IT Managers and Executives
6. Consultants and Advisors
7. Entrepreneurs and Start-up Founders
8. Anyone Interested in IT Project Management

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Course Forum

Course Features

Lectures 12
Quizzes 1
Duration 1.30 minutes
Skill level All levels
Language Bengali
Students 0
Certificate Yes
Assessments Self

Naznin

Ms. Naznin Sultana, working as an Associate Professor in the Department of Computer Science and Engineering at Daffodil International University, Bangladesh, with twenty years of teaching experience. Her teaching repertoire is as vast as it is impactful, covering a spectrum of subjects ranging from Digital Image Processing and Data Mining to Machine Learning, Software Engineering, System Analysis and Design, and Computer Simulation and Modeling, among others. Passionate about research, Ms. Sultana has left an indelible mark in academia with her contributions to national and international papers, particularly in areas such as Data Mining, Machine Learning, Natural Language Processing, and Image Processing.
She is dedicated to outcome-based education and have played a pivotal role in crafting OBE based curriculum design that not only educate but also empower students to excel in the dynamic world of technology. As a dedicated member of various academic committees within the CSE department and disciplinary committees at DSC, she continues to shape the academic landscape, ensuring excellence and integrity at every turn.