SHRI RAMDEOBABA COLLEGE OF ENGINEERING AND MANAGEMENT .

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SHRI RAMDEOBABA COLLEGE OFENGINEERING AND MANAGEMENT,NAGPUR – 440013An Autonomous College affiliated toRashtrasant Tukadoji Maharaj Nagpur University,Nagpur, Maharashtra (INDIA)PROGRAMME SCHEME & SYLLABI2020 – 2021B. E. (COMPUTER SCIENCE & ENGINEERING)

Shri Ramdeobaba College of Engineering and Management, NagpurPublished ByDr. R. S. PandePrincipalShri Ramdeobaba College of Engineering & ManagementPh. : 0712-2580011 Fax : 0712 - 2583237ISO 9001 : 2015 CERTIFIED ORGANISATION

Programme Scheme & Syllabi B. E. (Computer Science & Engineering)About the DepartmentThe department was established in 2002 and is well equipped with latest and state-of-the-art hardwareand software/ The department hosts 300 computers with internet facility. The 24x7 network managedwith Cyberoam UTM firewall, and CISCO router offers intranet and internet connectivity. Thecomputer laborites have high-end servers of IBM and WIPRO along with industry standard software,viz., Oracle, NetSim, Wireshark, AIX, Robotics Platform, IOT kit and MSDN. The departmentpromotes computing through Open Source technologies. The department also has a NVIDIA DX-2Server with 128 GB GPU capable of accelerating the execution capabilities for Machine learning andDeep learning Algorithms.The department has been instrumental in condition and management of Smart India Hackathon since2017. This year 04 teams from the department are selected for Grand Finale of Smart India Hackathon2020 (Software Edition-Online Platform) held on 01-03 August, 2020. The team of Seventh SemesterCSE, students attempted a solution named "ReMedize" to the problem- "Primary health care in remoteareas using Cloud medicine and Diagnostic" of Government of Uttarakhand bagging a prize money ofINR One Lakh.For the Third Smart India Hackathon, SIH-2019 held on March 02-03, 2019, Dr. M. B. Chandak,HOD, CSE was SPoC nodal Centre for the Grand Finale of SIH 2019 ar RCOEM Nodal Centre. 10studetn teams of RCOEM participated at the Grand Finale of SIH-2019. All the 03 winning teamssuccessfully solved the problems of "complicated" category to bag cash prize of INR 75,000 eachunder the able guidance of Professors for CSE Department.Students of CSE are inclined to competitive coding and are actively contributing through Code Chef,Hacker Rank, Hacker Earth, Geeks Coding Challenge and others. In ICPC-2019 the world renownedprestigious international Collegiate Programming Contest by ACM - CSE, RCOEM was able toparticipate for Onsite Contests at all four Asia Regional Contests organized at sites- IIT Kharagpur,Kanpur-Kanpur, Gwalior-Pune & Amritapuri. Our teams have been regularly participating at ICPCRegional Contests in past years.A grant of INR 45 lakh has been received from Department of Science and Technology, Govt. of Indiaunder Fund for Improvement of S&T Infrastructure (FIST- Level0).Departmental VisionTo continually improve the education environment, in order to develop graduates with strongacademic and technical background needed to achieve distinction in the discipline. The excellence isexpected in various domains like workforce, higher studies or lifelong learning.To strengthen links between industry through partnership and collaborative development works.Department MissionTo develop strong foundation of theory and practices of computer science amongst the students toenable them to develop into knowledgeable, responsible professionals, lifelong learners andimplement the latest computing technologies for the betterment of the society.01

Shri Ramdeobaba College of Engineering and Management, NagpurProgramme Educational ObjectivesI.To prepare graduates to apply the broad set of techniques, tools, and skills from science,mathematics and engineering required to solve problems in Computer Science andEngineering.The field of Computer Science & Engineering is a fast evolving field and caters to multipledisciplines. The focus is to imbibe necessary skill set amongst the students and developcompetencies to solve basic computer science & engineering problem.II.To prepare graduates to address practices in computer science and engineering using softwaredevelopment life cycle principles.The department aims to develop good analytical and designing skills amongst students, whileemphasizing on theoretical and practical aspects of computer science.III. To provide adequate training & opportunities to work as teams in multidisciplinary projects.The department aims at encouraging team spirit through projects which are multi- disciplinary innature.IV. To prepare the graduates to exhibit professionalism, communication skills, ethical attitude,and practice their profession with high regard to legal and ethical responsibilities.The department recognizes the need for effective communication in students and strives toenhance this aspect. The department feels that apart from curricular studies, it is necessary toimpart good moral values in the students so that they are aware of their social responsibilities.V.To prepare graduates for engaging in life-long learning, such as post graduate study &certification courses.The department encourages the students for higher studies and certification courses to keep trackwith the pace of technology.Program outcomes (POs)1.Engineering knowledge: Apply the knowledge of mathematics, science, engineeringfundamentals, and an engineering specialization to the solution of complex engineeringproblems.2.Problem analysis: Identify, formulate, review research literature, and analyze complexengineering problems reaching substantiated conclusions using first principles of mathematics,natural sciences, and engineering sciences.3.Design/development of solutions: Design solutions for complex engineering problems anddesign system components or processes that meet the specified needs with appropriateconsideration for the public health and safety, and the cultural, societal, and environmentalconsiderations.02

Programme Scheme & Syllabi B. E. (Computer Science & Engineering)4.Conduct investigations of complex problems: Use research-based knowledge and researchmethods including design of experiments, analysis and interpretation of data, and synthesis of theinformation to provide valid conclusions.5.Modern tool usage: Create, select, and apply appropriate techniques, resources, and modernengineering and IT tools including prediction and modeling to complex engineering activitieswith an understanding of the limitations.6.The engineer and society: Apply reasoning informed by the contextual knowledge to assesssocietal, health, safety, legal and cultural issues and the consequent responsibilities relevant tothe professional engineering practice.7.Environment and sustainability: Understand the impact of the professional engineering solutionsin societal and environmental contexts, and demonstrate the knowledge of, and need forsustainable development.8.Ethics: Apply ethical principles and commit to professional ethics and responsibilities and normsof the engineering practice.9.Individual and team work: Function effectively as an individual, and as a member or leader indiverse teams, and in multidisciplinary settings.10. Communication: Communicate effectively on complex engineering activities with theengineering community and with society at large, such as, being able to comprehend and writeeffective reports and design documentation, make effective presentations, and give and receiveclear instructions.11. Project management and finance: Demonstrate knowledge and understanding of theengineering and management principles and apply these to one's own work, as a member andleader in a team, to manage projects and in multidisciplinary environments.12. Life-long learning: Recognize the need for, and have the preparation and ability to engage inindependent and lifelong learning in the broadest context of technological change.Programme Specific Outcomes (PSOs)1.Foundation of Computer System: Ability to understand fundamental concepts of computerscience & engineering, operating system, networking & data organization systems, hardware &software aspects of computing,2.Software development Ability: Ability to understand the software development life cycle.Possess professional skills and knowledge of software design process. Familiarity andalgorithmic competence with a broad range of programming languages and open sourceplatforms.3.Research Ability: Ability to apply knowledge base to identify research gaps in various domains,model real world problems, solve computational tasks, to provide solution for betterment ofsociety with innovative ideas.03

Semiconductor Physics ering Graphics & Design LabConstitution of ineering Graphics & DesignMET1517.1000Basic Electrical Engineering LabEEP1516.0Basic Electrical ximum MarksContinualEnd SemAssessment al Mathematics LabDifferential Equations, Linear Algebra,Statistics & Probability / CalculusSemiconductor )Shri Ramdeobaba College of Engineering and Management, NagpurTEACHING SCHEME FOR FIRST YEAR (SEMESTER I & II)BACHALOR OF ENGINEERINGGROUP 1: SEMESTER-I/ GROUP 2: SEMESTER-II

Chemistry LabCHP152MAT151/MAT152CST1512.3.4.Programming for Problem Solving LabCreativity, Innovation & Design ThinkingWorkshop/Manufacturing PracticesWorkshop/Manufacturing Practices LabEnglishEnglish 0.Programming for Problem SolvingCalculus / Differential Equations,Linear Algebra, Statistics & l0000000202002014 2/1 9020110430P1/0 40252020254040254025602530302560602560Maximum MarksEnd SemContinualAssessment .51.5--0303--03ESEDuration(Hours)Programme Scheme & Syllabi B. E. (Computer Science & Engineering)GROUP 1: SEMESTER-II/ GROUP 2: SEMESTER-I

Shri Ramdeobaba College of Engineering and Management, NagpurProgram Scheme and Syllabi for B. E. (Computer Science & Engineering)Scheme of Teaching & Examination of Bachelor of Engineering(Computer Science Engineering); Semester : IIIHours/weekSr.CourseNo. Category code1PCCCST251Course NameFundamentals of Digital Logic andMaximum marksESEdurationCredits Continuous End Sem Total(Hrs)evaluationExamLTP400440601003 Hrs0021252550-Computer Architecture2PCCCSP251Fundamentals of Digital Logic andComputer Architecture Lab3PCCCST252Data Structures & Algorithms300340601003 Hrs4PCCCSP252Data Structures & Algorithms Lab0042252550--5PCCCSP253Systems Lab-I0042252550--6BSCMAT252 Linear Algebra and Statistics210340601003 Hrs7HSSM HUT253 Business Communication300340601003 Hrs8HSSM HUT257 Cyber Laws & Ethics in IT200240601003 HrsTotal1411020275375650Scheme of Teaching & Examination of Bachelor of Engineering(Computer Science Engineering); Semester : IVHours/weekSr.CourseNo. Category code1PCCCST254Course NameDiscrete Mathematics andMaximum marksESECredits Continuous End Sem Total duration(Hrs)evaluationExamLTP310440601003 HrsGraph Theory2PCCCST255Operating Systems300340601003 Hrs3PCCCSP255Operating Systems Lab0042252550-4PCCCST256Object Oriented Programming300340601003 Hrs5PCCCSP256Object Oriented Programming Lab0021252550-6PCCCST257Formal Languages & Automata300340601003 Hrs300340601003 Hrs0021252550-Theory7PCCCST258System Programming &Device Drivers8PCCCSP258System Programming & DeviceDrivers Lab9PCCCSP259Systems Lab-II00424060100-10 OECCST299Open Elective-I300340601003 Hrs11 MCCHT252 Environmental Sciences2--0----2011225355495850-06

Programme Scheme & Syllabi B. E. (Computer Science & Engineering)Department of Computer Science and EngineeringScheme of Teaching & Examination of Bachelor of Engineering (Computer Science Engineering); Semester : VHours/weekSr.CourseNo. Category codeCourse NameLTPMaximum marksESEdurationCredits Continuous End Sem Total(Hrs)evaluationExam340601003 Hrs1PCCCST351Database Management Systems3002PCCCSP351Database Management Systems Lab0042252550-3PCCCST352Design & Analysis of Algorithms310440601003 Hrs4PCCCSP352Design & Analysis of Algorithms Lab0021252550-5PCCCST353Computer Networks300340601003 Hrs6PCCCSP353Computer Networks Lab0021252550-7PCCCSP354Mobile Prog. Lab0042252550-8OECCST398Open Elective-II300340601003 Hrs9PECCST355Elective-I300340601003 Hrs10MCHUT353 Indian Traditional Knowledge2--0----1711222300400700-Course CodeELECTIVE – ICST355-1Computer GraphicsCST355-2Embedded SystemsCST355-3Information Theory & CodingCST355-4Design PatternsScheme of Teaching & Examination of Bachelor of Engineering (Computer Science Engineering); Semester : VISr.CourseNo. Category codeHours/weekCourse NameLTPMaximum marksESECredits Continuous End Sem Total duration(Hrs)evaluationExam340601003 Hrs1PCCCST356Artificial Intelligence3002PCCCSP356Artificial Intelligence Lab0021252550-3PCCCST357Software Engineering300340601003 Hrs4PCCCSP357Software Engineering Lab0021252550-5PCCCST358Complier Design300340601003 Hrs6PCCCSP358Complier Design Lab0042252550-7PECCST359Elective-II300340601003 Hrs8OECCST399Open Elective-III300340601003 ensive Viva0021252550-1501623325425750-Course CodeELECTIVE – IICST359-1Advanced AlgorithmsCST359-2Distributed SystemsCST359-3Digital Signal ProcessingCST359-4Data Warehousing & Mining07

Shri Ramdeobaba College of Engineering and Management, NagpurDepartment of Computer Science and EngineeringScheme of Teaching & Examination of Bachelor of Engineering (Computer Science Engineering); Semester : VIISr.CourseNo. Category codeHours/weekCourse NameLTPMaximum marksESEdurationCredits Continuous End Sem Total(Hrs)evaluationExam340601003 Hrs1PCCCST451 Elective-III3002PCCCSP451 Elective-III Lab0021252550-3PCCCST452 Elective-IV300340601003 Hrs4PCCCSP452 Elective-IV Lab0021252550-5OECCST498 Open Elective-IV300340601003 Hrs6BSCIDT451 Bio-informatics210340601003 Hrs7PRCSP454 Project-2001265050100-8PRCSP455 Industry Internship Evaluation0020----1111820260340600-Course CodeELECTIVE - IIICourse CodeELECTIVE - IVCST451-1Machine LearningCST452-1Digital Image & Video ProcessingCST451-2Web Intelligence and Big DataCST452-2Distributed and Parallel DatabaseCST451-3Data Visualization & AnalyticsCST452-3Game TheoryCST451-4Fundamentals of Augmented RealityCST452-4Cloud ComputingScheme of Teaching & Examination of Bachelor of Engineering (Computer Science Engineering); Semester : VIIISr.CourseNo. Category codeHours/weekCourse NameLTPMaximum marksESEdurationCredits Continuous End Sem Total(Hrs)evaluationExam3 Hrs340601001PECCST456 Elective-V3002PECCST457 Elective-VI300340601003 Hrs3PRCSP458 Project-3/Industry Internship001265050100-601212130170300-Course CodeELECTIVE - VCourse CodeELECTIVE - VICST456-1Neural Network & Deep LearningCST457-1Information RetrievalCST456-2Robotics: Perception & EstimationCST457-2Natural Language ProcessingCST456-3Multi Agent Intelligent SystemsCST457-3Data Warehousing for Business IntelligenceCST456-4Cryptography & Network SecurityCST457-4Internet of ThingsCourse CodeOpen ElectiveCourse NameCST299-1Open Elective - IJava Programming and UI Design ConceptsCST299-2Open Elective - IDesign Thinking for InnovationCST398-1Open Elective – IIPython and Data AnalysisCST399-1Open Elective – IIIRecent Trends in ComputingCST498-1Open Elective - IVData Analytics for Business ApplicationsTotal Credits (III to VIII Semester): 12208

Programme Scheme & Syllabi B. E. (Computer Science & Engineering)Department of Computer Science and EngineeringHonors & Minor Curriculum DesignHonors SchemeSr.CourseNo. Semester codeHoursperWeekCourse NameMaximum marksESECredits Continuous End Sem Total Durationin (Hrs)Evaluation Exam4406010031IVCSTH41 Programming for Advanced Computing42VCSTH51 Pattern Recognition / MOOC44406010033VICSTH61 Graph Mining / MOOC44406010034VIICSTH71 Statistical Machine Learning / MOOC44406010035VIIICSTH81 Big Data Analysis / MOOC4440601003Note : All the courses mentioned above are provided by the PG department of CSE. If any of the courseis not provided by the PG department of CSE, that course can be completed through MOOC or anyother sources with prior permission from HOD, CSE.Minor SchemeSr.CourseNo. Semester codeHoursperWeekCourse NameMaximum marksESECredits Continuous End Sem Total Durationin (Hrs)Evaluation Exam4406010031IVCSTM41 Data Structures & Algorithms42VCSTM51 Software Engineering & Project4440601003Management3VICSTM61 AI and Machine Learning44406010034VIICSTM71 Mobile Application Programming44406010035VIIICSTM81 Database Management System4440601003Note :1.If any of the subjects is offered by the parent department, then with the prior permission of HOD,CSE the student can opt for -a.ONE/TWO Program Electives (for same/more credits) offered by CSE ORb.MOOC courses (for same/more credits)2.Students cannot opt for an open elective course of any departments which are aligned with thecourses offered in Minor Scheme.09

Shri Ramdeobaba College of Engineering and Management, NagpurSyllabus for Semester I / II(Electronics Engineering, Electronics and Communication Engineering, Computer Science Engineering,Information Technology, Computer Science Engineering (Data Science))Course Code : PHT156Category : Basic Science CourseL: 3 Hrs. T: 1 Hrs. P: 0 Hrs. Per weekCourse : PHYSICS : Semiconductor Physics (Theory)Total Credits : 4Course Objectives1.To introduce ideas of quantum mechanics necessary to begin understanding semiconductordevices;2.To familiarize prospective engineers with fundamental concepts of semiconductors and theirinteraction with light and resulting devicesCourse OutcomesAfter successful completion of the course students will1.Have an elementary understanding of quantum behaviour of electrons in solids;2.Have a grasp of band structure and its consequences for semiconductors;3.Should be able to use band structure to explain effects of doping,on the properties of junctionsbetween semiconductors and metals;4.Have an elementary understanding of working of optoelectronic devicesModule 1: Quantum Mechanics IntroductionWave-particle duality, Heisenberg uncertainty relations, the quantum state wave function and itsprobability interpretation, Schrodinger's equation, Energies and wave functions of a single electron inone-dimensional infinite potentials: formulae, function graphs, number of bound states, tunneling,One electron atom, periodic table, Quantum confinement effects in nanosystemsModule 2: Electronic MaterialsFree electron theory, Extension of idea of energy level splitting in molecules to bonding in solids,Energy bands in solids, Kronig-Penny model (to better demonstrate origin of band gaps), Band gapbased classification of electronic materials: metals, semiconductors, and insulators, E-k diagram,Direct and indirect bandgaps, Valence and conduction bands, Density of states, Fermi-Dirac statistics:Occupation probability of states, Fermi level, Effective mass.Module 3: Intrinsic and Extrinsic SemiconductorsIntrinsic and extrinsic semiconductors, Dependence of Fermi level on carrier-concentration andtemperature (equilibrium carrier statistics), Carrier transport: diffusion and drift10

Programme Scheme & Syllabi B. E. (Computer Science & Engineering)Module 4: Non-Equilibrium SemiconductorsCarrier generation and recombination, Continuity equation, Ambipolar transport equation, QuasiFermi Energy levels, Excess Carrier Lifetime, Qualitative introduction to recombination mechanisms,Shorkley - Read-Hall Recombination, Surface RecombinationModule 5: Junction Physicsp-n junction, Zero applied bias, forward bias, reverse bias, Metal-semiconductor junction, Shottkybarrier, Ideal junction properties, Ohmic contacts, ideal non-r

Shri Ramdeobaba College of Engineering and Management, Nagpur 02 Program outcomes (POs) 1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. 2.

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