Seventh Semester

             

Course Title:                       Professional Practice                         

Credit Hours:                     3 (Theory)

Pre-requisites:                   None

COURSE OBJECTIVES:

 

•      A Computing graduate as professional has some responsibilities with respect to the society.

•      This course develops student understanding about

–     Historical

–     Social

–     Economic

–     Ethical

–     Professional issues related to the discipline of Computing.

•      It identifies key sources for information and opinion about professionalism and ethics.

•      The Students will

–     analyze

–     evaluate

–     and assess ethical and professional computing case studies.

 

COURSE DESCRIPTION:

This course will cover:

•      Historical, social, and economic context of Computing

–     (software engineering, Computer Science, Information Technology);

•      Definitions of Computing

–     (software engineering, Computer Science, Information Technology)

•      We will also cover the subject areas and professional activities;

–     With respect to professional practices taken place in current market.

•      We will further discus how does the professional societies work:

–     professional societies

–     professional ethics

–     professional competency and life-long learning; uses

–     misuses, and risks of software

–     information security and privacy

–     business practices and the economics of software

–     intellectual property and software law (cyber law)

–     social responsibilities

–     software related contracts

–     Software house organization

–     Software process models

–     Software testing

–     Information security

–     Data security

–     Network security                                                                                       

Recommended Text(s):

•      Professional Software Development 2007 edition by David A. Penny

•      An integrated approach to software by Pankage Chalotay

•      Professional Issues in Software Engineering,  By M.F. Bott et.al

•      Computer Ethics Pearson Education (2001) 3rd edition by Deborah G.Johnson

•      Cryptography and Network Security Principles and Practices by William Stallings 7th Ed

•      Network Security Charles P Fleeger Prentice Hall

Course Title:               Data Warehousing & Mining (CS - 414)

Credit Hours:              3+1

Prerequisites               Database Management Systems

Course Objectives:

To enable the students to understand different features / issues in data warehousing and its designing and data mining concepts.

Course Outline:

Introduction to Data Ware Housing, Normalization, De-Normalization, De-Normalization Techniques, Issues of De-Normalization, Planning and Project Management, Defining the business Requirements, The Architectural Components, Infrastructure as a Foundation for Data Warehousing, Data Design and Data Preparation: Principles of Dimensional Modeling, Dimensional Modeling Advanced Topics, Online Analytical Processing (OLAP, Multidimensional OLAP (MOLAP, Relational OLAP (ROLAP, Dimensional Modeling (DM, Process of Dimensional Modeling, Issues of Dimensional Modeling, Extract Transform Load (ETL), Issues of ETL, Data Extraction & Transformation, ,Data Cleansing, Data Duplication Elimination, Introduction to Data Quality Management (DQM), DQM: Quantifying Data Quality, Total Data Quality Management Indexing Techniques, Join Techniques. Implementation and Maintenance: Physical Design Process, Data Warehouse Deployment.

Data mining basics, The Knowledge discovery process, OLAP vs. Data mining, Major Data Mining Techniques (Cluster detection, decision trees, Link analysis etc), Data mining Applications.

LEARNING RESOURCES:

Recommended Books:

1. Data Warehousing Fundamentals for IT Professionals 2^ND Edition (2010) By Paulraj Ponniah

2. The Data Warehouse Toolkit, 3rd Edition

3. Mastering Data ware Housing Design by Claudio Imhoff

Referenced Books:

     1. Building the Data warehouse by William H Inmon

COURSE TITLE:          Entrepreneurship & Leadership (MS – 401)

Credit Hours:             3 (Theory)
Pre-requisites:           None

COURSE OBJECTIVES AND DESCRIPTION:

The learning aims of this course are to develop students’ knowledge about entrepreneurship and leadership of startups and ideas in practical market. Specially, by the end of the course students should be able to:

• Develop an understanding of the entrepreneurship and leadership skills and determine whether the student wants to be an entrepreneur with their own business or a corporate entrepreneur
• Understand how to lead a business being an entrepreneur and how the leadership skills help solve the problems efficiently and systematically
• Understand how to identify opportunities, market gaps, develop creative solutions and build a worthwhile business
• Identify and understand the driving forces of new venture success
• Understand the ethics, laws and other challenges required in entrepreneurship and psychological approach behind new ventures

LEARNING RESOURCES:

Recommended Books:

1.  Entrepreneurship: A contemporary approach by Donald F. Kuratko

Reference Books:

1. The Lean Startup by Eric Ries
2. Entrepreneurship 6th/8th/10th edition by Robert D. Hisrich, M.P.Peters & D.A.Shepher