Faculty Details

Prof. Shyam Viththalani
- Assistant Professor
- sdviththalani@mbit.edu.in
- 02692-230823
- 8758700601
Total Experience
Teaching | 6 Years 8 months |
Industry | 1 Months |
Membership
Specialization Area | : | Artificial Intelligence, Mobile Application Development |
Subject Taught | : | Introduction to C Programming, OOP, Analysis and Design of Algorithm,Data Structure,Data Mining and Business Intelligence, Artificial Intelligence, OOP. |
Academic Qualifications
Qualification | Specialization | University | Passing Year | Class |
---|---|---|---|---|
PhD | Computer Engineering | CVM University | Pursuing | |
M.E. | Information technology | CSPIT,CHARUSAT | 2018 | Distinction |
B.E. | Information technology | CSPIT,CHARUSAT | 2016 | First |
Experience Details
25th January, 2019 to till dates. | Working as Assistant Professor in Department of Computer Engineering |
25th December 2018 to 25th January 2019. | Worked as a Young Professional-YP-I in ICAR-Directorate of Medicinal & Aromatic Plants Research, Anand, Gujarat |
Publications Details
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Activities
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Analysis And Design Of Algorithms (3150703)
Course Outcome
- Analyze the asymptotic performance of algorithms.
- Derive and solve recurrences describing the performance of divide-and-conquer algorithms.
- Find an optimal solution by applying various methods.
- Apply pattern matching algorithms to find particular patterns.
- Differentiate polynomial and nonpolynomial problems.
- Explain the major graph algorithms and their analyses. Employ graphs to model engineering problems, when appropriate.
Sr. No. | Type | Link |
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1. | Learning Material | Click Here |
2. | Quiz | Click Here |
3. | Assignment | Click Here |
4. | Mid Semester Exam | Click Here |
5. | MOOC | Click Here |
6. | Laboratory Handout | Click Here |
Artificial Intelligence (2180703)
Course Outcome
- Understand various search methods.
- Use various knowledge representation methods.
- Understand various Game Playing techniques.
- Use Prolog Programming language using predicate logic.
Sr. No. | Type | Link |
---|---|---|
1. | Learning Material | Click Here |
2. | Quiz | Click Here |
3. | Assignment | Click Here |
4. | Mid Semester Exam | Click Here |
5. | MOOC | Click Here |
6. | Laboratory Handout | Click Here |