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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 

• Knowledge rich video lessons
• Flexible Learning
• Interactive Live sessions
• Discussion Forums
• Exclusive TCE Expertise
• Industry Relevant Skills
• Certificate of Completion
• Affordable Fees
• Lab visits for specific courses

• Industrial Automation
  • 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
  • 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
• Essentials of Blockchain
  • Blockchain technology to innovate and improve business processes with practical implementation
• Cloud Computing for Beginners
  • 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
• Big Data Tools and Techniques
  • 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 

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

• Quiz for every week in stipulated time      
  • Unlimited attempts are allowed. Last submission is considered for evaluation
• Assignments (if applicable): Evaluation by course coordinators  
• Final Quiz covering all modules – To be completed as per schedule
  • Unlimited attempts are allowed. Last submission is considered for evaluation

• Minimum 50% of consolidated scores
• Completion of course evaluation survey

• Write to mooc [at] tce [dot] edu
• Visit www.tce.edu/tce-mooc