Course List & Guidelines
Course List &
Academic Guidelines
Course List and Academic Guidelines for SWE-43 and All Running Batches · Department of Software Engineering · Daffodil International University
Course List - Click a semester to expand
- SE-111 — Computer Fundamentals
- SE-112 — Computer Fundamentals Lab
- SE-113 — Introduction to Software Engineering
- ENG-101 — English Reading, Writing Skills & Public Speaking / English I
- BNS-101 — Bangladesh Studies
- MAT-101 — Math-I: Calculus & Geometry / Mathematics I
- SE-121 — Structured Programming
- SE-122 — Structured Programming Lab
- PHY-101 — Physics: Mechanics, Electromagnetism & Waves / Physics I
- SE-212 — Software Requirement Specifications & Analysis
- SE-213 — Digital Electronics & Logic Design
- SE-123 — Discrete Mathematics
- MAT-102 — Math-II: Linear Algebra & Fourier Analysis / Mathematics II
- SE-131 — Data Structure
- SE-132 — Data Structure Lab
- SE-133 — Software Development Capstone Project
- SE-133 — Software Development Capstone Project
- SE-223 — Database Systems
- SE-224 — Database Systems Lab
- SE-222 — Computer Architecture
- AOL-101 — Art of Living
- STA-135/ STA-101 — Probability & Statistics in Software Engineering/ Statistics I
- SE-214 — Algorithms Design & Analysis
- SE-215 — Algorithms Design & Analysis Lab
- SE-216 — Object Oriented Programming
- SE-217 — Object Oriented Programming Lab
- SE-411 — Software Project Management & Documentation
- STA-135/ STA-101 — Probability & Statistics in Software Engineering/ Statistics I
- SE-232 — Operating System & System Programming
- SE-233 — Operating System & System Programming Lab
- SE-231 — System Analysis & Design Capstone Project
- SE-235 — Desktop & Web Programming
- SE-236 — Desktop & Web Programming Lab
- SE-225 — Data Communication & Computer Networking
- SE-226 — Data Communication & Computer Networking Lab
- SE-311 — Design Pattern
- SE-312 — Software Quality Assurance & Testing
- SE-313 — Software Quality Assurance & Testing Lab
- GE-324 — Business Analysis & Communication
Course list will be uploaded soon.
Course list will be uploaded soon.
Course list will be uploaded soon.
Course list will be uploaded soon.
Course list will be uploaded soon.
Academic Guidelines - Click to expand
To achieve the best academic outcomes, students are encouraged to follow these recommendations throughout their studies.
- Follow the teaching methodology, assessment requirements, and instructions provided by your course instructor.
- Stay attentive to class announcements, deadlines, and academic expectations for each course.
- Focus on developing a clear understanding of core concepts.
- Practice writing answers in a structured manner using headings, bullet points, and relevant keywords.
- Prioritize conceptual clarity over rote memorization.
- Build a strong foundation in fundamental mathematical concepts and principles.
- Regularly solve problems to improve analytical and problem-solving skills.
- Ensure a thorough understanding of basic formulas and their applications before progressing to advanced topics.
- Invest time in strengthening programming fundamentals and core problem-solving skills.
- Practice coding consistently beyond classroom assignments.
- Develop personal and academic projects to gain hands-on experience.
- Maintain an active GitHub portfolio and showcase significant projects on LinkedIn to support your professional growth and career development.
For any help, contact: esratjhahan0.in@gmail.com