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AMJC

Agurchand Manmull Jain College

(A Unit of Sri. S. S. Jain Educational Society)(Affiliated to the University of Madras)
Meenambakkam, Chennai – 600 061.

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Agurchand Manmull Jain College

(A Unit of Sri. S. S. Jain Educational Society)
(Affiliated to the University of Madras)
Meenambakkam, Chennai – 600 061.

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M.Sc Computer Science – course outcomes

Course Outcomes - M Sc Computer Applications

I year – I Semester

  • 1. Analyze programming problem statements. 
  • 2. Comprehend and select algorithm design approaches in a problem specific manner. 
  • 3. Choose appropriate data structures for a specific problem 
  • 4. Utilize necessary mathematical abstractions to solve problems 
  • 5. Come up with analysis of efficiency and proofs of correctness 
  • 1. Be able to program decorators, closures, lambda, iterators and generators comprehensions with in OOP
  • 2. Learn modern data structures to include collections, array, and queues 
  • 3. Use platform independent file manipulation, file pattern matching using CSV, HTML, XML, JASON 
  • 4. Be able to set up a client-server program and also multi-process applications. 
  • 5. Be able to use python as an analytical and presentation tool 
  • 1. Design and analyse programming problem statements. 
  • 2. Choose appropriate data structures and algorithms, understand the ADT/libraries, and use it to design algorithms for a specific problem 
  • 3. Be familiar with programming language constructs available for rapid application development, 
  • 4. Understand the necessary programmatic abstraction to solve problems. 
  • 5. Gain the capacity to solve real life problems by matching to the available algorithms. 
  • 1. Apply exception handling and user defined exception(s) Develop Module(s) and Package(s) in python 
  • 2. Possess an ability to write database applications in Python 
  • 3. Implement Object Oriented concepts in programming Apply Collection modules for the data types 
  • 4. Possess the Object-oriented programming skills in Python. and the skill of to design graphical-user interfaces (GUI) in Python 
  • 5. Make use of Pandas and Numpy Libraries 
  • 1. Understand the concepts of Cloud and its services 
  • 2. Collaborate Cloud for Event & Project Management 
  • 3. Analyze on cloud in Word Processing, Spread Sheets, Mail, Calendar, Database 
  • 4. Analyze cloud in social networks 
  • 5. Explore cloud storage and sharing 
  • 1.AboutInternetofThingswherevariouscommunicatingentitiesarecontrolledandmanaged for decision making in the application domain. 
  • 2. Enable students to learn the Architecture of IoT and IoT Technologies 
  • 3. Developing IoT applications and Security in IoT, Basic Electronics for IoT, Arduino IDE, Sensors and Actuators Programming NodeMCU using Arduino IDE.
  • To introduce the students to the recent trends in the field of Computer Architecture and identify performance related parameters. 
  • To learn the different multiprocessor issues. 
  • To expose the different types of multicore architectures. 
  • To understand the design of the memory hierarchy.
  • 1. Understand the different phases of the compiler. 
  • 2. Design a lexical analyzer for a sample language. 
  • 3. Apply different parsing algorithms to develop the parsers for a given grammar. 
  • 4. Design and implement a scanner and a parser using LEX and YACC tools 
  • 5. Learn to implement code optimization techniques and a simple code generator. 
  • 1. To tag a given text with basic Language features 
  • 2. To design an innovative application using NLP components 
  • 3. To implement a rule-based system to tackle morphology/syntax of a language 
  • 4. To design a tag set to be used for statistical processing for real-time applications 
  • 5. To compare and contrast the use of different statistical approaches for different types of NLP applications. 
  • 1. Apply various fragmentation techniques given a problem 
  • 2. Analyse and calculate the cost of enforcing semantic integrity control 
  • 3. Use the steps of query processing 
  • 4. Apply optimization techniques are applies to Distributed Database 
  • 5. Apply effectively Query Optimization Algorithms 

I year – II Semester

  • 1. Enable the students to learn the concepts of Mining tasks, classification, clustering and Data Warehousing. 
  • 2. Develop skills using recent datamining software for solving practical problems. 
  • 3. Develop and apply critical thinking, problem-solving, and decision-making skills.
  • To provide knowledge and abilities to develop web sites for the internet.
  • To provide basic design principles to present ideas, information, products, and services on websites 
  • To induce basic programming principles to the construction of websites 
  • To grasp the concepts on Java Beans, servlets, JSP 
  • To comprehend the connection between Relational Database and Java
  • 1. To enable the students to learn the concepts of Data Mining algorithms namely classification, clustering, regression…. 
  • 2.To understand & write programs using the Data Mining algorithms 
  • 3. To apply statistical interpretations for the solutions 
  • 4. Able to use visualization techniques for interpretations
  • 1. Implement Remote method invocations. 
  • 2. Apply servlet in web applications 
  • 3. Develop Servlets for creating Web based applications using JDBC 
  • 4. Develop JSP for creating Web based applications using JDBC. 
  • 5. Test java beans and session tracking 
  • 1. Solve basic AI based problems. 
  • 2. Define the concept of Artificial Intelligence. 
  • 3. Apply AI techniques to real-world problems to develop intelligent systems. 
  • 4. Select appropriately from a range of techniques when implementing intelligent systems. 
  • 5. Possess the basic knowledge of different machine learning techniques. 
  • 1. To understand, apply and summarize the basic concepts of Micro services communication Microsoft Azure and Dev Ops for software development life cycle. 
  • 2. To illustrate, and implement Azure Kubernetes Service tools for software development life cycle. 
  • 3. To recognize, analyse and summarize the functionalities of .NET Dev Ops for Azure applications. 
  • 4. To understand, design and evaluate the principles and architecture service tools for software development life cycle. 
  • 5. To comprehend, implement and review the functionalities of API and API gateways for cloud and Azure applications. 
  • 1. Understand different methodologies to create applications using deep nets. 
  • 2. Identify and apply appropriate deep learning algorithms for analyzing the data for a variety of problems. 
  • 3. Implement different deep learning algorithms 
  • 4. Design the test procedures to assess the efficacy of the developed model. 
  • 5. Combine several models in to gain better results 
  • 1. Ability to understand the computer vision pipeline. Ability to build solutions using computer vision algorithms. 
  • 2. Identify basic concepts, terminology, theories, models and methods in the field of computer vision 
  • 3. Describe known principles of human visual system 
  • 4. Describe basic methods of computer vision related to multi-scale representation, edge detection and detection of other primitives, stereo, motion and object recognition 
  • 5. Suggest a design of a computer vision system for a specific problem 
  • 1. Realize the importance of interacting with business stakeholders in determining the requirements for a software system 
  • 2. Perform iterative software development processes: how to plan them, how to execute them. 
  • 3. Point out the impact of social aspects on software development success. develop techniques and tools for improving team collaboration and software quality. 
  • 4. Perform Software process improvement as an ongoing task for development teams. 
  • 5. Show how agile approaches can be scaled up to the enterprise level. 
  • 1. Design effective dialog for HCI 
  • 2. Design effective HCI for individuals and persons with disabilities. 
  • 3. Assess the importance of user feedback. 
  • 4. Explain the HCI implications for designing multimedia/ ecommerce/ elearning Web sites. 
  • 5. Develop a meaningful user interface. 

II year – III Semester

  • 1. Identify Big Data and its Business Implications. 
  • 2. List the components of Hadoop and Hadoop Eco-System 
  • 3. Access and Process Data on Distributed File System 
  • 4. Manage Job Execution in Hadoop Environment 
  • 5. Develop Big Data Solutions using Hadoop Eco System 
  • 1. Recognize the characteristics of machine learning strategies. Apply various supervised learning methods to appropriate problems. 
  • 2. Identify and integrate more than one technique to enhance the performance of learning. 
  • 3. Analyze the co-occurrence of data to find interesting frequent patterns. 
  • 4. Preprocess the data before applying to any real-world problem and can evaluate its performance. 
  • 5. Create probabilistic and unsupervised learning models for handling unknown pattern. 
  • 1. Use the concepts and techniques of discrete mathematics for theoretical computer science 
  • 2. Design Finite Automata for different Regular Expressions and Languages 
  • 3. Identify and use different formal languages and their relationship. 
  • 4. To solve various problems of applying normal form techniques, push down automata and Turing Machines 
  • 5. Analyze various concepts of undecidability and Computable Function and Discuss analytically and intuitively for problem-solving situation 
  • 1. Understand the implementation procedures for the machine learning algorithms. 
  • 2. Design Java/Python programs for various Learning algorithms. 
  • 3. Apply appropriate data sets to the Machine Learning algorithms. 
  • 4. Identify and apply Machine Learning algorithms to solve real world problems. 
  • 5. be capable of confidently applying common Machine Learning algorithms in practice and implementing their own
  • 1. Understand the process of the cryptographic algorithms 
  • 2. Compare and apply different encryption and decryption techniques to solve problems related to confidentiality and authentication 
  • 3. Applyandanalyzeappropriatesecuritytechniquestosolvenetworksecurity problem 
  • 4. Explore suitable crypto graphic algorithms 
  • 5. Analyze different digital signature algorithms to achieve authentication and design secure applications 
  • 1. Analyze the cryptographic algorithms for information security. 
  • 2. Identify the authentication schemes for membership authorization. 
  • 3. Identify computer and network security threats, classify the threats and develop a security model for detect and mitigate the attacks. 
  • 4. Identify the requirements for secure communication and challenges related to the secure web services 
  • 5. Ability to identify the need of ethical and professional practices, risk management Using emerging security solutions. 
  • 1. Develop and apply knowledge of parallel and distributed computing techniques and methodologies. 
  • 2. Apply design, development, and performance analysis of parallel and distributed applications. 
  • 3. Use the application of fundamental Computer Science methods and algorithms in the development of parallel applications. 
  • 4. Explain the design, testing, and performance analysis of a software system, and to be able to communicate that design to others
  • 5. Understand the requirements for programming parallel systems and how they can be used to facilitate the programming of concurrent systems. 
  • 1. Analyze cyber-attacks, types of cybercrimes, cyber laws and also how to protect them self and ultimately the entire Internet community from such attacks. 
  • 2. Interpret and forensically investigate security incidents 
  • 3. Apply policies and procedures to manage Privacy issues 
  • 4. Design and develop secure software modules 
  • 5. Understand different forms of hacking techniques 

II year – IV Semester

  • 1. Know and understand the basics and fundamentals of digital image processing, such as digitization, sampling, quantization, and 2D-transforms. 
  • 2. Operate on images using the techniques of smoothing, sharpening and enhancement. 
  • 3. Perform the restoration concepts and filtering techniques. 
  • 4. Demonstrate the segmentation, features extraction, compression and recognition methods for color models. 
  • 5. Compress images and use tools for image recognition. 
  • 1. Demonstrate the benefits and ethics of RPA 
  • 2. Understand the Automation cycle and its techniques 
  • 3. Draw inferences and information processing of RPA 
  • 4. Implement & Apply RPA in Business Scenarios 
  • 5. Analyze on Robots & leveraging automation 
  • 1. Demonstrate block chain technology and crypto currency 
  • 2. Understand the mining mechanism in block chain 
  • 3. Apply and identify security measures, and various types of services that allow people to trade and transact with bitcoins 
  • 4. Apply and analyze Block chain in health care industry 
  • 5. Analyze security, privacy, and efficiency of a given Blockchain system 
  • 1. Understandtheconceptof8051microcontroller 
  • 2. Understand the Instruction Set and Programming 
  • 3. Analyze the concepts of RTOS 
  • 4. Analyze and design various real time embedded systems using RTOS 
  • 5. Debug the malfunctioning system using various debugging techniques 
  • 1. Identify use cases and develop the Use Case model. 
  • 2. Identify the conceptual classes and develop a Domain Model and also derive a Class Diagram from that. 
  • 3. Using the identified scenarios, find the interaction between objects and represent them 
  • 4. Using UML Sequence and Collaboration Diagrams and Draw relevant State Chart and Activity Diagrams for the same system. 
  • 5. Implement the modified system and test it for various scenarios 
  • 1. Understand the purpose of interviews 
  • 2. Be aware of the processes involved in different types of interviews 
  • 3. Know how to prepare for interview 
  • 4. Be clear about the importance of self-presentation 
  • 5. Be clear about the importance of documentation