Lesson Plan for semester Started w.e.f (8 th Sem)

Transcription

1 Lesson Plan for semester Started w.e.f (8 th Sem) Subject: Cloud Computing Name of Institute: Seth Jai Parkash Mukand Lal Institute of Engineering & Technology, Radaur Name of teacher with designation: Er. Arushi(AP) Department: CSE Month Class Topic/Chapter Covered Academic Activity JANUARY Overview of Computing Paradigm: Recent L1 trends in Computing L2 Grid Computing, Cluster Computing L3 Distributed Computing, Utility Computing, L4 Cloud Computing and its evolution L5 Business driver for adopting cloud computing. L6 Cloud Computing (NIST Model) Test/ from 1 st Unit L7 History of Cloud Computing L8 Cloud service providers, Properties L9 Cloud service providers, Properties contd L10 Characteristics & Disadvantages of Cloud service providers L11 Pros and Cons of Cloud Computing, Benefits of Cloud Computing FEBRUARY L12 Cloud computing vs. Cluster computing vs. Grid computing L13 Cluster computing vs. Grid computing contd. L14 Role of Open Standards. L15 Test and discussion of unit -1 from 2 nd Unit L 16 Cloud Computing Architecture L 17 Cloud computing stack L 18 Comparison with traditional computing architecture (client/server)

2 L 19 Services provided at various levels L20 How Cloud Computing Works L 21 How Cloud Computing Works contd. L 22 Role of Networks in Cloud computing MARCH L 24 Protocols used and Role of Web services in cloud computing L 25 Service Models (XaaS) L26 Service Models (XaaS) contd L 27 Infrastructure as a Service (IaaS) L 28 Platform as a Service (PaaS) L29 Software as a Service (SaaS) L30 Software as a Service (SaaS) contd.. L 31 Deployment Models- Public cloud, Private cloud from 3 rd Unit L 32 Hybrid cloud, Community cloud. L33 Test and discussion of unit -2 L34 Service Management in Cloud Computing L35 Service Level Agreements (SLAs), Billing & Accounting L 36 Service Level Agreements (SLAs),contd APRIL L 37 Comparing Scaling Hardware: Traditional vs. Cloud L 38 Traditional vs. Cloud contd L 39 Economics of scaling: Benefitting enormously L40 Managing Data- Looking at Data L41 Scalability & Cloud Services, L42 Database & Data Stores in Cloud L43 Large Scale Data Processing L44 Case study: Eucalyptus from 4 th Unit APRIL L45 Case study: Microsoft Azure, Amazon

3 EC2 L46 Case study: Amazon EC2 contd.. and Test and discussion of unit -3 L 47 Cloud Security L 48 Infrastructure Security L 49 Network level security, Host level security L 50 Network level security, Host level security contd.. L51 Application level security L52 Data security and Storage L53 Data privacy and security Issues L54 Jurisdictional issues raised by Data location L55 Identity & Access Management, Access Control L56 Identity & Access Management, Access Control contd.. L57 Trust, Reputation, Risk, Authentication in cloud computing L58 Client access in cloud, L59 Cloud contracting Model L60 Commercial and business considerations. Er. Arushi Assistant Professor Deptt. of CSE JMIT Radaur

4 Lesson Plan for semester Started w.e.f (8 th Sem) Subject: Mobile Apps Development Name of Institute: Seth Jai Parkash Mukand Lal Institute of Engineering & Technology, Radaur Name of teacher with designation: Er.Ekta AP, CSE Department: CSE Month Class Topic/Chapter Covered Academic Activity JANUARY Mobility landscape, L1 L2 Mobile platorms L3 Mobile apps, L4 development L5 Overview of android platform L6 L5 Continue... L7 Setting up the Mobile app development Test/ from 1 st Unit L8 environment alogn with an Emulator L9 Activity States and life Cycle L10 L9 Continue... L11 Interatction amongest activites. FEBRUARY L12 L13 L11 Continue... App functionality beyond user interface from 2 nd Unit L14 Continue... L15 Threads, Async task, Services L 16 Services L 17 States and life cycle L 18 Continue... L 19 Continue... L20 Different States and life cycle L 21 Continue... L 22 Continue...

5 MARCH L 24 Notifications, broadcast receivers L 25 Continue... L26 Continue... L 27 broadcast receivers L 28 Continue... L29 Continue... L30 Content provider L 31 Continue... L 32 Graphics and animation Custome views from 3 rd Unit L33 Custome views L34 Canvas, animation APIs L35 APIs L 36 Multimedia Audio/Video playback and record L 37 Continue... L 38 Location awareness L 39 Continue... L40 Native data handling file I/O L41 Continue... L42 Different Native data handling file I/O L43 Shared preferences L44 Shared preferences in detail L44 Mobile databases such as SQLite APRIL L45 Continue... L46 Enterprise data access ( via internet /inteanet ) L47 EDA L48 Debugging moblie apps from 4 th Unit L49 Detailed Debugging moblie apps

6 L50 White box testing L51 Continue... L52 Continue... L53 Continue... L54 Black box testing L55 Continue... L56 Continue... L57 Continue... L58 Test automation of mobile app L59 Continue... L60 Junit for Android Er. Arushi Assistant Professor Deptt. of CSE JMIT Radaur

7 Lesson Plan for semester Started w.e.f (8 th Sem) Subject: Neural Networks and Fuzzy Logic Name of Institute: Seth Jai Parkash Mukand Lal Institute of Engineering & Technology, Radaur Name of teacher with designation: Er.Bhawna(AP), Er.Mohit(AP) Department: CSE Month Class Topic/Chapter Covered Academic Activity JANUARY Introduction : Concepts of neural networks L1 L2 Basics of neural networks L3 Characteristics of neural networks L4 L3 Continue... L5 Applications of neural networks L6 L5 Continue... L7 Fundamentals of neural networks Test/ from 1 st Unit L8 Details of Fundamentals of neural networks L9 What do you mean by Prototype L10 The biological prototype L11 Neuron concept, FEBRUARY L12 L13 single layer neural networks Multi-Layer neural networks. from 2 nd Unit L14 Terminology L15 Notation of neural networks L 16 representation of neural networks L 17 Training of artificial neural networks L 18 L17 Continue... L 19 Representations of perceptron, L20 L20 Continue... L 21 perceptron learning and training L 22 Perceptron training

8 MARCH L 24 Classification, linear separability L 25 linear separability L26 Hopfield nets: Structure, L 27 Structure, L 28 Training L29 applications, L30 Back propagation : concept, applications L 31 Back propagation Training algorithms. L 32 Counter propagation Networks: kohonan network from 3 rd Unit L33 gross berg layer &Training L34 Applications of counter propagation. L35 Image classification. L 36 Bi-directional associative memories L34 Continue... L 37 L 38 Structure, retrieving a stored association, L 39 encoding associations L40 Art architecture L41 Art Classification operation, L42 ART implementation L43 characteristics of ART L44 Image compression using art, APRIL optical neural networks, L45 L46 Vector Matrix multipliers L 47 Hop field net using Electro optical matrix multipliers, L 48 holographic correlator, from 4 th Unit L 49 Optical Hopfield net suing volume holograms, L 50 cognitrons and neocognitrons: Structure

9 and training L 51 Fuzzy Logic :introduction of fuzzy logic, Classical and fuzzy sets L52 Overview of classical sets, membership Function, Fuzzy rule generation, L53 Operations on Fuzzy sets: compliment, L54 intersections, Unions, combinations of operations, L55 Aggregation Operations, Fuzzy Arithmetic: Fuzzy Numbers, Linguistic variables, L56 Arithmetic Operations on Intervals & Numbers, L57 Lattice of Fuzzy Numbers, Fuzzy Equations L58 Introduction of Neruo Fuzzy systems architecture of Neuro Fuzzy networks L59 Genetic Algorithms: genetic algorithm implementation in problem solving and L60 Working of genetic algorithms evolving neural networks Er. Bhawna, Er.Mohit Assistant Professor Deptt. of CSE JMIT Radaur

10 Lesson Plan for semester Started w.e.f (8 th Sem) Subject: Software Testing Name of Institute: Seth Jai Parkash Mukand Lal Institute of Engineering & Technology, Radaur Name of teacher with designation: Er. Pinki(AP), Er.Shabnam(AP) Department: CSE Month Class Topic/Chapter Covered Academic Activity JANUARY Introduction : Overview of software L1 evolution L2 Continue... L3 SDLC, Testing Process L4 Testing Process L5 Terminologies in testing :Error L6 Continue... Test/ from 1 st Unit L7 Fault, Failure, verification L8 Failure, verification L9 Validation, difference between verification and validation L10 difference between verification and validation L11 What is software testing FEBRUARY L12 L13 why it ti so hard? Test cases, from 2 nd Unit L14 Test Oracles, testing process L15 Limitations of testing L 16 Continue... L 17 Functional testing : L 18 Boundary value analysis L 19 Equivalence class testing L20 Continue... L 21 Decision table based testing

11 L 22 Continue... MARCH Cause effect graphing technique L 24 L 25 Continue... L26 Structural testing : path testing L 27 Continue... L 28 DD-paths, L29 cyclomatic complexity L30 Graph metrics, L 31 data flow testing L 32 Mutation testing from 3 rd Unit L33 Continue... L34 Reducing the number of test cases. L35 Prioritization guidelines L 36 Priority category, scheme L 37 L 38 Risk analysis, L 39 regression testing L40 And slice based testing L41 Continue... L42 Testing activities : Unit testing, L43 levels of testing L44 Integration testing L45 Continue... L46 System testing L 47 Continue... APRIL Debugging, L48 L49 domain testing from 4 th Unit

12 L50 Object oriented testing. L51 Definition L52 Issues, class testing L53 Object oriented integration and system testing L54 Testing web application: what is web testing? L55 User interface testing L56 Usability testing L57 Security testing L58 Performance testing L59 Database testing L60 Post deployment test Er. Pinki Assistant Professor Er. Shabnam Assistant Professor Deptt. of CSE JMIT Radaur