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M.Tech. Programme in Civil Environmental Engineering

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M.Tech. Programme in Civil Environmental Engineering Walchand College of Engineering, Sangli (An Autonomous Institute) Curriculum (Structures) for M.Tech. Programme in Civil Environmental Engineering Academic Year 2016-17 Walchand College of Engineering, Sangli (An Autonomous Institute) Teaching and Evaluation Scheme Effective from 2016-17 M.Tech. Program in Civil (Environmental Engineering) Semester I Evaluation Scheme Teaching Scheme Marks Course Course Component Code L T P Credits Max. Min. for Marks Passing ISE 1 10 Project 2IC503 2 -- -- 2 MSE 30 40 Management for (3CV633) ISE 2 10 Civil Engineers ESE 50 20 ISE 1 10 2IE5** 3 -- -- 3 MSE 30 40 Institute Elective -I (2EE623) ISE 2 10 ESE 50 20 ISE 1 10 2EV5** Professional 3 -- -- 3 MSE 30 40 (2CE6**) Elective-I ISE 2 10 ESE 50 20 ISE 1 10 Municipal Solid 2EV501 3 -- -- 3 MSE 30 40 Waste (2CE601) ISE 2 10 Management ESE 50 20 Environmental ISE 1 10 2EV502 chemistry and 3 0 -- 4 MSE 30 40 (2CE602) Instrumental ISE 2 10 methods ESE 50 20 Unit operations and ISE 1 10 2EV503 processes in 3 1 -- 4 MSE 30 40 (2CE603) Environmental ISE 2 10 Engineering - I ESE 50 20 Environmental -- -- 4 2 ISE 50 20 2EV551 Monitoring (2CE651) ESE (POE) 50 20 Laboratory I 2EV552 Treatability studies -- -- 2 1 ISE 50 20 (2CE652) Laboratory I ESE (POE) 50 20 2EV541 ISE 50 20 Industrial Seminar 2# 1 (2CE653) ESE (POE) 50 20 Total Credit: 23 Total 17 1 6 23 Total Contact Hours/Week: 26 hrs Note: Course code in the bracket indicates pre-revised code Walchand College of Engineering, Sangli (An Autonomous Institute) Teaching and Evaluation Scheme Effective from 2016-17 M.Tech. Program in Civil (Environmental Engineering) Semester II Evaluation Scheme Teaching Scheme Marks Course Course Component Code L T P Credits Max Min for Marks Passing ISE 1 10 Research 2IC504 2 -- -- 2 MSE 30 40 Methodology for (3CV634) ISE 2 10 Civil Engineers ESE 50 20 ISE 1 10 2IE5** Institute Elective - 3 -- -- 3 MSE 30 40 (2IE6**) II ISE 2 10 ESE 50 20 ISE 1 10 2EV5** Professional 3 -- -- 3 MSE 30 40 (2CE6**) Elective - II ISE 2 10 ESE 50 20 Unit operations ISE 1 10 2EV521 and processes in 3 1 -- 4 MSE 30 40 (2CE621) Environmental ISE 2 10 Engineering - II ESE 50 20 ISE 1 10 2EV522 Air pollution and 3 0 -- 3 MSE 30 40 (2CE622) control ISE 2 10 ESE 50 20 ISE 1 10 Environmental 2EV523 3 -- -- 3 MSE 30 management 40 (2CE623) ISE 2 10 systems ESE 50 20 Environmental -- -- 4 2 ISE 50 20 2EV571 Monitoring (2CE671) ESE (POE) 50 20 Laboratory II Treatability -- -- 4 2 ISE 50 20 2EV572 studies Laboratory (2CE672) ESE (POE) 50 20 II 2EV542 Pre-Dissertation ISE 50 20 (2CE673) Seminar 2# 1 ESE (POE) 50 20 Total 17 1 8 23 Total Credit: 23 Total Contact Hours/Week: 28 hrs List of Professional Electives: Course Code Course name 2EV511 (2CE631) Geo-Environmental Engineering 2EV512 (2CE632) Water Quality Modeling 2EV513 (2CE633) Hydraulics of Transport Systems in Environmental Engineering 2EV514 (2CE634) Hazardous Waste Management 2EV515 (2CE635) Emerging Technologies in Water and Wastewater Treatment 2EV531 (2CE636) Energy and Buildings 2EV532 (2CE637) Operation and Maintenance of Environmental Facilities Note: Course code in the bracket indicates pre-revised code Walchand College of Engineering, Sangli (An Autonomous Institute) Teaching and Evaluation Scheme for Year 2016-17 M.Tech. Program in Civil (Environmental Engineering) Semester III Evaluation Scheme Teaching Scheme Course Course Practical (Marks ) Code Component Credits Min for L T P Max Passing 2EV 690 Industrial Training (2CE643) (During Summer ISE 1 100 40 Term) 2EV691 Dissertation Phase 1 -- -- ISE 1 3 100 40 (2CE691) ISE 2EV692 Dissertation Phase 2 5 ISE 2 2 100 40 (2CE692) ISE -- -- 2EV 693 Dissertation Phase 2 ESE 1 4 100 40 (2CE 692) ESE Total Credits: 10 Total -- -- 5 Average Contact hours/week/student: 5 Hrs Semester IV Evaluation Scheme Teaching Scheme Course Code Course Practical (Marks %) Component Credits Min for L T P Max Passing 2EV694 Dissertation Phase 3 -- -- ISE 3 5 100 40 (2CE693) ISE 2EV695 Dissertation Phase 4 5 ISE 4 5 100 40 (2CE694) ISE -- -- 2EV 696 Dissertation Phase 4 ESE 2 10 100 40 (2CE 694) ESE Total Credits: 20 Total -- -- 5 Average Contact hours/week/student: 5 Hrs Note: Course code in the bracket indicates pre-revised code Title of the Course: Project Management for Civil Engineers 2IC504 L T P Cr (3CV633) 2 0 0 2 Pre-Requisite Courses: Nil Textbooks: 1. Jack Gido, James P Clements, Project Management, Cengage Learning India Pvt. Ltd., 2nd Reprint 2011, ©2007 References: 1. John Adair, Strategic Leadership, Kogan Page Ltd., 1st ed. 2010. 2. Project Management, Achieving Competitive Advantage, Jeffrey K. Pinto, Dorling Kindersley India Pvt. Ltd. Ed. 2009. 3. B.C. Punmia and Khandelwal, Project Planning and Control with PERT and CPM, Lakshmi Publications Pvt. Ltd., 4th Edition, 2008 4. K. Nagarajan, Project Management, New Age Int., 2nd ed. 2004. Course Objectives : • To develop a holistic, integrated approach to manage projects, exploring both technical and managerial challenges in environmental / structural engineering projects. • To inculcate leadership, and ethical qualities in dealing with real life project environment and develop positive attitude towards individual responsibility in project execution. • To induce qualities for supporting industry’s life-long learning programs, working in interdisciplinary and cross functional teams with effective communication skills and managerial challenges. Course Learning Outcomes: C After the completion of the course the student should be able to Bloom’s Cognitive O level Descriptor 1. Explain critically the project characteristics, project management 2, 3 Apply principles and apply them in the context of real world problems. 2. Formulate and solve projects in context of scheduling and controlling 3 Apply with time and cost as constraints using the imparted knowledge of network scheduling techniques and applications using software. 3. Sense the need of effective oral/written communication and leadership 1, 3 Apply skills of management and to demonstrate successfully in a project environment to ethically accomplish project objectives. CO-PO Mapping : 1 2 3 4 5 6 7 8 9 10 11 CO1 2 1 CO2 2 CO3 1 Page 1 | 3 Assessment: Two components of In Semester Evaluation (ISE), One Mid Semester Examination (MSE) and one End Semester Examination (ESE) having 20%, 30% and 50% weightage respectively. Assessment Marks ISE 1 10 MSE 30 ISE 2 10 ESE 50 ISE 1 and ISE 2 are based on assignment, oral, seminar, test (surprise/declared/quiz), and group discussion.[One assessment tool per ISE. The assessment tool used for ISE 1 shall not be used for ISE 2] MSE: Assessment is based on 50% of course content (Normally first three modules) ESE: Assessment is based on 100% course content with70-80% weightage for course content (normally last three modules) covered after MSE. Course Contents: Module 1: Project Management Concepts Factors Governing Modern Business, Effective Project Management, definition of project, Attributes of Project, Stategic Planning, Project Life Cycle, considerations for RFP, Project Process, 04 Project Balancing, Project Environment, Programme and Portfolio. Module 2: Project Planning and Schedule WBS, Responsibility matrix, Devp. of non-network and network schedules, Activity duration estimates, Schedule calculations, Probability considerations, PMS. 08 Module 3: Schedule control . Project control process Updating schedule, Approaches to schedule control, Resource considerations. 04 Module 4: Cost Planning and Performance Project cost estimates, Budget, Actual cost, Cost Forecasting, Managing cash flows. 04 Module 5: Project Manager and Project Team Responsibilities and skills, Delegation, Managing Change, Devp. and effectiveness of project team, Ethics, Conflicts on Projects, Time Management. 04 Module 6: Project communication and Documentation Personal communication, Effective listening, Meeting, Presentations and Report preparation, Types of Project organizations- their merits and demerits, SWOT analysis. 04 Module wise Measurable Students Learning Outcomes : Students will be able to Module 1: Explain basic properties of projects, differentiate between project management practices and traditional business functions, project life cycle and concepts of project success. Module 2: Grasp the key scheduling terminologies, apply logic for developing network schedules, perform duration calculations and identify critical paths and floats. Module 3: Interpret the various steps involved in project control process, apply the changes in updating networks leading to new schedules in consideration to various resources. Module 4: Outline baseline budget, analyzing cost performance index, Cost forecasting. Module 5: Practice the responsibilities of project manager and develop skills and techniques to ethically Page 2 | 3 manage and control projects with effective delegation. Module 6: Explain the characteristics of organizational structures, develop the art of enhancing personal communication, handle effective project presentations and prepare project reports. Page 3 | 3 Title of the Course: L T P Cr Computational Methods and Optimization techniques 3 0 0 3 2IE 511 (2CV641) Pre-Requisite Courses: All Courses in Mathematics for UG Textbooks: 1. Chapra S.C. and Canale R.P., “Numerical Methods for Engineers”, Tata McGraw Hill Publications, 4th Edition, 2002. 2. Babu Ram “Numerical Methods”, Pearson, 1st Edition, 2010. 3. Hamdy A. Taha, “Introduction to O.R.”, 6th edition, (PHI) References: 1. Balguruswamy, E. “Numerical Methods”, Tata McGraw-Hill Publishing Co. Ltd., 2nd Edition, 2009. 2. Jain M.K., Iyengar S. R., Jain R. K., “Numerical Methods”, New Age International (P) limited, 5th Edition, 2007. 3. N.D. Vora, “Quantitative Techniques in Management”, 2nd edition-. (TMH) Course Objectives : 1. To provide knowledge of numerical approach and significance of error analysis. 2. To provide necessary knowledge of numerical tools required for analyzing and solving problems in the field of engineering. 3. To provide pre-requisite statistical knowledge to the students for analyzing the data/results. 4. To deliver know-how of typical optimization techniques applicable to engineering problems.
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