TCE Online Courses - TCE MOOCs
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Enhancement of curriculum based on the current needs is always the need of the hour. Introduction of value-added courses shall enhance the core-engineering knowledge and shall increase the interdisciplinary learning opportunities for the students across the departments. Providing those courses online shall enable the students to learn at their own pace. Online mode gives the opportunity of offering these courses to the students of other institutions also and thereby showcasing the potential of excellence of TCE. One of the objectives of TCE Academic Process Team is to develop online value-added courses to enhance graduate outcomes and provide improved interdisciplinary learning opportunities for the students of TCE and other institutions
Lab visits for specific courses
Theoretical and practical aspect of industrial automation through Fluid power and PLC
FPGA based digital system design
Technological background of FPGA, SPLD, CPLD, Verilog coding, Xilinx with solutions
Discrete Time Signal Processing
Review of signals and systems , DFT&FFT algorithms, Filters and quantization
Smart Grid Implementation and Feasibilities
Smart grid technologies, monitoring, smart metering and renewable energy
Theory of Computation: TOC made Easy
Automata, Regular expression, CFG, Mathematical modeling
Visual Arts - a tool for creativity
Integrate Visual Arts as a Fundamental Element in Engineering Education
Programming in C - A Primer for Placement
Structural and procedural programming concepts to build algorithmic logics into programs/applications
Data Structures - Placement Bootcamp
Forum to understand and solve complex problems with data structures from the placement point of view
Database Management System: Road Map to Placement and Gate Preparation
Core concepts and techniques of a DBMS, systematically designed for GATE Exams aspirant students
Programming in Java - A Practical Approach
Object-oriented programming (OOP) concepts using Java from the placement perspective.
Predictive Analytics with Regression: Simplified
Well demonstrated regression methods with metrics and improvement measures for engineering applications
Applied Data Science with Python Specialization
Data science algorithms and hands-on activities using python including supervised and unsupervised
Data visualization techniques illustrated with python libraries for data plots
Applied Statistics with Python
Collection of data, analyzing, interpreting and drawing conclusions from data demonstrated with python
Mobile Application Development using Android
Platform to create innovative and robust mobile applications for the society
Blockchain technology to innovate and improve business processes with practical implementation
Cloud Computing concepts and services, facilitating Cloud based services and development tools
Modern Software Testing Tools and Practices
Agile approach, Test design & automation, Selenium, Jira & Cucumber
Analytics platforms (Hadoop Spark) , Scripting (PIG, Hive), NoSQL, Python for applications
Statistical Modeling and Analysis
T-tools and permutation-based alternatives, Descriptive statistics and modeling
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Certification Policy: For TCE Students towards the award of credits
Total marks awarded towards completion of course: 100
Internal Assessment: 50 marks (Maximum)
External Assessment : 50 marks (Maximum)
Total marks: Internal assessment + External Assessment = 100 marks
Internal assessment shall be conducted as quiz and assignments as mentioned in the respective courses. There shall be a minimum of one graded quiz per week that shall be completed within 14 days from the start date of the quiz. Unlimited attempts are allowed. Last submission is considered for evaluation
In addition to the quiz, there shall be assignments in the courses which has to be duly submitted within 14 days from the start date of the quiz. The course coordinators shall evaluate the assignments and release the final scores for the assignments. The decision of course coordinators is final.
The scores of all the modules including weekly quizzes and assignments shall be averaged to 50 marks, contributing to internal assessment mark. A grading scheme shall be specified explicitly in the introduction module for every course.
External assessment shall be conducted as a proctored quiz for 50 marks with a duration of 60 minutes. Only one attempt is allowed.
Note: For TCE students, External assessment shall be conducted as proctored online examination scheduled by CoE.
The learner has obtained a minimum average score of 25 marks in internal assessment activities
The learner has obtained a minimum score of 25 marks in External assessment quiz
The classification of credits is based on the regulations of the student batch
Registration in CAMU will be enabled during the beginning of the semester
Total scores awarded towards completion of course: 100
Unlimited attempts are allowed. Last submission is considered for evaluation