Data Warehousing and Data Mining (CSC420) — Official TU Syllabus
Official Tribhuvan University (TU) Institute of Science and Technology (IOST) prescribed course curriculum outline for BSc CSIT seventh semester.
Course Description & Evaluation Scheme for Data Warehousing and Data Mining (CSC420)
The official Tribhuvan University (TU) syllabus for Data Warehousing and Data Mining (Course Code: CSC420) defines the complete academic curriculum, unit-wise lecture hour distribution, and laboratory requirements prescribed by the Institute of Science and Technology (IOST) for BSc Computer Science and Information Technology (BSc CSIT) students in the seventh semester.
This course carries a total weightage of 100 marks, divided into internal assessment and end-of-semester board examinations. The internal continuous evaluation accounts for 20% of the total score (20 marks), administered directly by college faculty based on attendance, unit tests, mid-term examinations, and laboratory participation. The final TU board examination conducted by the Controller of Examinations consists of 60 marks for written theoretical assessment and 20 marks for practical laboratory evaluation.
To obtain academic credit for Data Warehousing and Data Mining, students must pass theory, practical, and internal evaluations independently with a minimum pass mark of 40%. Specifically, students must secure at least 24 out of 60 marks in the written board examination and at least 8 out of 20 marks in the practical examination.
How to Master Data Warehousing and Data Mining for TU Exams
Syllabus comprehension is the cornerstone of effective exam preparation. By analyzing the lecture hour allocations assigned to each chapter unit in the official Data Warehousing and Data Mining syllabus, students can prioritize high-weightage topics such as core theoretical proofs, algorithmic procedures, and practical coding exercises.
We recommend pairing this syllabus document with our verified Data Warehousing and Data Mining Chapter Notes and practicing past board exam questions available in our Data Warehousing and Data Mining Past Questions. Solving previous years' past questions ensures familiarity with repeat question patterns, time management during exams, and standard diagram requirements expected by TU evaluators.
Frequently Asked Questions — Data Warehousing and Data Mining Syllabus
Is this syllabus updated according to the latest TU IOST curriculum?+
Yes. All syllabus outlines on CSIT Notes Hub are verified copies of the official Tribhuvan University (TU) Institute of Science and Technology (IOST) curriculum prescribed for BSc CSIT colleges across Nepal.
What are the pass marks for Data Warehousing and Data Mining theory and practical board exams?+
For the written theory board examination (60 marks total), the pass mark is 24. For the practical laboratory exam (20 marks total), the pass mark is 8. Students must pass theory, practical, and internal assessments independently.
Where can I access chapter-wise notes and solved past questions for Data Warehousing and Data Mining?+
You can access complete handwritten notes and PDF resources on our Data Warehousing and Data Mining Notes Page and solved board questions on our Data Warehousing and Data Mining Past Questions Page.