KARNATAK LAW SOCIETY'S GOGTE INSTITUTE OF TECHNOLOGY "JNANA GANGA" UDYAMBAG, BELAGAVI-590008, KARNATAKA, INDIA. Approved by AICTE & UGC ESTD. 1939 Permanently Affiliated and Autonomous Institution Under ESTD. 1979 Visvesvaraya Technological University, Belagavi www.git.edu 2018-19 Scheme Department: MCA Programme: MCA 1rd to 6th Semester Scheme of Teaching and Examination 1st and 2nd Semester Syllabus INSTITUTION VISION Gogte Institute of Technology shall stand out as an institution of excellence in technical education and in training individuals for outstanding caliber, character coupled with creativity and entrepreneurial skills. MISSION To train the students to become quality engineers with high standards of professionalism and ethics who have positive attitude, a perfect blend of techno-managerial skills and problem solving ability with an analytical and innovative mindset. QUALITY POLICY • Imparting value added technical education with state-of-the-art technology in a congenial, disciplined and a research oriented environment. • Fostering cultural, ethical, moral and social values in the human resources of the institution. • Reinforcing our bonds with the Parents, Industry, Alumni, and to seek their suggestions for innovating and excelling in every sphere of quality education. DEPARTMENT VISION The department of Master of Computer Applications shall strive to stand out as par excellence in generating and grooming, technically competent and skilled intellectual professionals to meet the challenges of the modern computing industry. MISSION To train the graduates to become IT professionals having strong fundamental knowledge in the field of computer application with ethical values to meet increasing global challenges of ever evolving technologies. OUTCOME BASED EDUCATION (OBE) PROGRAM OUTCOMES (POs) : Postgraduates will demonstrate knowledge of mathematics, computer applications, and 1. management. Postgraduates will demonstrate an ability to identify, formulate and solve engineering 2. problems. Postgraduates will demonstrate an ability to design and conduct experiments, analyze 3. and interpret data. Postgraduates will demonstrate an ability to design a system, component or process as 4. per needs and specifications. Postgraduates will demonstrate an ability to analyze and build computer applications 5 for multiple domains. Postgraduates will demonstrate skills to use modern software tools and technology to 6 build and test applications. 7 Postgraduates will demonstrate knowledge of professional and ethical responsibilities. 8 Postgraduates will be able to communicate effectively in both verbal and written form. Postgraduates will show the understanding of impact of engineering solutions on the 9. society as a successful entrepreneur or IT professional. Postgraduates will develop confidence for self-education and ability for life-long 10. learning. 11. Postgraduates can participate and succeed in competitive examinations. Postgraduates will use research-based knowledge and research methods including 12. design of experiments,analysis and interpretation of data, and synthesis of the information to provide valid conclusions. PROGRAM EDUCATIONAL OBJECTIVES (PEOs): 1.PEO1: The graduates will be inculcated with substantial knowledge of mathematics, computer Science and its applications so that they become proficient in providing solutions to computing problems. 2.PEO2: The graduates will be trained to develop the ability to analyse, model, design, implement and verify a computing system to meet specified requirements while considering real-world constraints. 3.PEO3: The graduates will be provided with a platform to explore latest trends and technologies in computing solutions, adequate training & opportunities to work as a team on multidisciplinary projects with effective communication skills and leadership qualities 4. PEO4: The graduates will be made aware on the benefits of life-long learning and will be introduced to professional ethics and codes of professional practice. PROGRAM SPECIFIC OUTCOMES (PSOs): 1. PSO1: Professional Skills: The ability to understand, analyze and develop computer programs in the areas related to algorithms, system software, simulation, software design, web design, big data analytics, and networking for efficient design of computer-based systems of varying complexity. 2. PSO2: Problem-Solving Skills: The ability to apply standard practices and strategies in software project development using open-ended programming environments to deliver a quality application for business success. 3.PSO3: Successful Career and Entrepreneurship: The ability to employ modern computer languages, technologies, environments, and platforms in creating innovative career paths to be an entrepreneur, and a zest for higher studies. BLOOM’S TAXONOMY OF LEARNING OBJECTIVES Bloom’s Taxonomy in its various forms represents the process of learning. It was developed in 1956 by Benjamin Bloom and modified during the 1990’s by a new group of cognitive psychologists, led by Lorin Anderson (a former student of Bloom’s) to make it relevant to the 21st century. The revised taxonomy given below emphasizes what a learner “Can Do”. Lower order thinking skills(LOTS) L1 Remembering Retrieve relevant knowledge from memory. Construct meaning from instructional material, including oral, written L2 Understanding and graphic communication. Carry out or use a procedure in a given situation – using learned L3 Applying knowledge. Higher order thinking skills(HOTS) Break down knowledge into its components and determine the L4 Analyzing relationships of the components to one another and then how they relate to an overall structure or task. Make judgments based on criteria and standards, using previously L5 Evaluating learned knowledge. Combining or reorganizing elements to form a coherent or functional L6 Creating whole or into a new pattern, structure or idea. Scheme of Teaching and Examination -1st to 6thSemesterMCA As per the guidelines of UGC CBCS the courses can be classified into: (i) Core Courses (PC): This is the course which is to be compulsorily studied by a student as a core requirement to complete the requirements of a program in a said discipline of study. These courses will have 4 credits per course. (ii) Foundation Courses: The Foundation Courses are of two kinds: Compulsory Foundation: These courses are the courses based upon the content that leads to Knowledge enhancement.These courses provide opportunities to improve technological knowledge before entering industry as well as preparing students for higher degrees in technological subjects. They are mandatory for all disciplines. These courses will have 4 credits per course. Foundation Electives: These are value based courses aimed at man making education. The course is related to Humanities and Social Science Courses (HS). (iii) Elective Courses: This is course, which can be chosen from the pool of papers. It may be supportive to the discipline/ providing extended scope/enabling an exposure to some other discipline / domain / nurturing student proficiency skills. (iv)Mandatory Non-Credit Courses (MNC): These courses are mandatory for students joining MCA Program and students have to successfully complete these courses before the completion of degree. Semester wise distribution of credits for MCA program Total credits for MCA Program: credits Regular batch Lateral entry Credits per Total Credits per Total Semester Sem credits Sem credits 1 23 -- 1st year 44 -- 2 21 -- 3 22 22 2nd year 44 44 4 22 22 5 21 21 3rd year 44 44 6 23 23 Total 132 132 88 88 Credit definition: Lecture (L):One Hour /week – 1 credit Tutorial (T): Two hour /week – 1 credit Practicals (P): Two hours /week – 1 credit; Scheme of Teaching and Examination -1st to 6th SemesterMCA I Semester Contact CIE SEE Total Sl. Course Course Title Category L-T-P Hours Credits Marks Marks Marks No. Code /Week 18MCA11 Unix and Shell 50 50 100 1 CF 4-0-0 4 4 Programming 2 18MCA12 Web Programming CF 4-0-0 4 4 50 50 100 18MCA13 Digital Systems and 50 50 100 3 CC 4-0-0 4 4 Computer Organization 4 18MCA14 Data Structures CC 4-0-0 4 4 50 50 100 18MCA15 Discrete Mathematical 50 50 100 5 CC 4-0-0 4 4 Structures 18MCA16 Unix& Shell Programming 50 50 100 6 CC 0-0-2 2 1 Laboratory 18MCA17 Web Programming 50 50 100 7 CC 0-0-2 2 1 Laboratory 18MCA18 Data Structures 50 50 100 8 CC 0-0-2 2 1 Laboratory Total 20-0-6 26 23 400 400 800 CIE: Continuous Internal Evaluation SEE: Semester End Examination L: Lecture T: Tutorial P:Practical CC: Core Course CF:Compulsory Foundation II Semester Contact CIE SEE Total Sl. Course Cate Course Title L-T-P Hours Credits Marks Marks Marks No. Code gory /Week 1 18MCA21 Programming using Java CC 4-0-0 4 4 50 50 100 2 18MCA22 Database Management Systems CF 4-0-0 4 4 50 50 100 3 18MCA23 Operating Systems CC 4-0-0 4 4 50 50 100 4 18MCA24 Computing for Data Analytics CC 3-0-0 3 3 50 50 100 5 18MCA25 Software Engineering 50 50 100 CC 3-0-0 3 3 6 18MCA26 Java Programming 50 50 100 CC 0-0-2 2 1 Laboratory 7 18MCA27 Database Management 50 50 100 CC 0-0-2 2 1 Systems Laboratory 8 18MCA28 Software Engineering 50 50 100 CC 0-0-2 2 1 & Testing Lab Total 18-0-6 24 21 400 400 800 CIE: Continuous Internal Evaluation SEE: Semester End Examination L: Lecture T: Tutorial P:PracticalCC: Core Course CF: Compulsory Foundation III Semester Contac CIE SEE Total Sl. Categ t Cre Marks Marks Marks N Course Code Course Title L-T-P ory Hours dits o /Week 1 18MCA31 Computer Networks CF 4-0-0 4 4 50 50 100 2 18MCA32 Python Programming CC 4-0-0 4 4 50 50 100 3 18MCA33 Cloud Computing CC 4-0-0 4 4 50 50 100 4 18MCA34 Introduction to CC 4-0-0 4 4 50 50 100 server-sideprogramming using PHP 5 18MCA35X Elective – 1 FE 3-0-0 3 3 50 50 100 6 18MCA36 Computer Networks 50 50 100 CC 0-0-2 2 1 Laboratory 7 18MCA37 Python Programming 50 50 100 CC 0-0-2 2 1 Laboratory 8 18MCA38 PHP Programming 0-0-2 2 1 50 50 100 CC Laboratory Total 19-0-6 25 22 400 400 800 CIE: Continuous Internal Evaluation SEE: Semester End Examination L: Lecture T: Tutorial P: Practical CC: Core Course CF: Compulsory Foundation FE:Foundation Elective Certification Courses: 2-credits • Two certifications are compulsory and need to be completed before start of 6th semester.