MYO052 Advanced Web Development MethodsIstinye UniversityDegree Programs Computer Programming (Evening Education)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Computer Programming (Evening Education)

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Associate TR-NQF-HE: Level 5 QF-EHEA: Short Cycle EQF-LLL: Level 5

Course Introduction and Application Information

Course Code: MYO052
Course Name: Advanced Web Development Methods
Semester: Spring
Course Credits:
ECTS
3
Language of instruction: Turkish
Course Condition:
Does the Course Require Work Experience?: No
Type of course: Departmental Elective
Course Level:
Associate TR-NQF-HE:5. Master`s Degree QF-EHEA:Short Cycle EQF-LLL:5. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator: Öğr. Gör. AHMET SELİM ÖVER
Course Lecturer(s): Öğr. Gör. Ramazan Bakır
Course Assistants:

Course Objective and Content

Course Objectives: The aim of this course is to provide students with fundamental knowledge and skills to develop web applications using Node.js. Students will gain in-depth understanding of integration with popular web frameworks like Express.js and NoSQL databases like MongoDB. Additionally, the course focuses on advanced topics such as security, performance optimization, and real-time applications, aiming to empower students to enhance their web development abilities at a professional level.
Course Content: The main objective of this course is to provide students with the fundamental knowledge and skills to develop web applications using Node.js. Participants will gain in-depth knowledge on topics such as Express.js, a popular web framework, and MongoDB, one of the NoSQL databases. Additionally, the course will focus on advanced topics like security, performance optimization, and real-time applications, enabling students to enhance their web development skills at a professional level.

Learning Outcomes

The students who have succeeded in this course;
1) Understanding what is Node.js
2) Ability to create and manage Express.js applications.
3) To be able to apply RESTful API design principles.
4) Ability to perform CRUD operations on MongoDB.
5) Being able to perform database operations and take security measures.
6) Being able to configure the Express.js application in an advanced way.
7) Ability to implement real-time communication using Socket.io.
8) Familiarity with advanced topics, such as GraphQL and Docker.

Course Flow Plan

Week Subject Related Preparation
1) Orientation & What is Node.js? Why should we use Node.js? None
2) Node.js installation & Review of basic JavaScript concepts None
3) What is Express.js? & Basic route and middleware concepts None
4) Express.js application structure & Creating and managing routes None
5) Basics of HTTP & Designing RESTful APIs / Creating APIs with Express.js None
6) What is MongoDB? &MongoDB installation and basic usage None
7) Integrating Mongoose with MongoDB & Performing CRUD operations on MongoDB None
8) Midterm 1-7. Weeks
9) User authentication / Using JSON Web Tokens (JWT) None
10) Database operations and security measures None
11) Using Express middleware, project structuring and modularization & Advanced configuration of Express.js applications None
12) What is WebSocket? / Using Socket.io None
13) WebSocket integration for real-time communication & application deployment and hosting management None
14) Performance optimization & Security best practices & Advanced topics: GraphQL, Docker, etc. None
15) Final 1-14. Weeks

Sources

Course Notes / Textbooks: NODEJS - KODLAB YAYIN ve Mehmet Canker
References: https://www.udemy.com/course/komple-web-gelistirme-kursu-nodejs/

Course - Program Learning Outcome Relationship

Course Learning Outcomes

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Program Outcomes
1) He gains the ability of problem solving and analytical thinking skills.
2) He learns the fundamentals of computer programming, hardware and software and the basic computer concepts.
3) He develops algorithms according to the problems, gains the ability to distinguish the appropriate ones from the fundamental algorithms for the problem.
4) He understands object-oriented programming concept and web programming.
5) He learns radix systems, fundamental electronics and computer hardware knowledge.
6) He gains mobile programming skills and develops applications for mobile platforms.
7) He designs and codes databases.
8) He learns to program and use computer networks, open source operating systems.
9) He uses the English language effectively.
10) He learns to use appropriate data structures according to programming requirements.
11) He develops software individually or as a team.
12) He follows developments in the field, high technology tools / applications.
13) He gains awareness of professional and ethical responsibility and has an awareness of professional ethics.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) He gains the ability of problem solving and analytical thinking skills. 3
2) He learns the fundamentals of computer programming, hardware and software and the basic computer concepts. 3
3) He develops algorithms according to the problems, gains the ability to distinguish the appropriate ones from the fundamental algorithms for the problem. 3
4) He understands object-oriented programming concept and web programming. 3
5) He learns radix systems, fundamental electronics and computer hardware knowledge. 3
6) He gains mobile programming skills and develops applications for mobile platforms. 3
7) He designs and codes databases. 3
8) He learns to program and use computer networks, open source operating systems. 3
9) He uses the English language effectively. 3
10) He learns to use appropriate data structures according to programming requirements. 3
11) He develops software individually or as a team. 3
12) He follows developments in the field, high technology tools / applications. 3
13) He gains awareness of professional and ethical responsibility and has an awareness of professional ethics. 3

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Quizzes 1 % 15
Midterms 1 % 35
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Calculation

Activities Number of Activities Preparation for the Activity Spent for the Activity Itself Completing the Activity Requirements Workload
Course Hours 3 7 1 24
Quizzes 1 15 15
Midterms 1 20 1 21
Final 1 25 1 26
Total Workload 86