Bangladesh University of Professionals (BUP)

Course List

Semester 1

MICT1102

Objective

1. To provide information on how project management and the effective use of software can help managing ICT projects. 2. To develop a project plan using a step-wise approach. 3. To distinguish ICT projects from other types of projects. 4. To apply various project scheduling techniques.

Outcome

At the end of the course student will be able to: 1. Perform Project Costing, Scheduling, Resource Allocation and Risk Management. 2. Apply various techniques to manage project staff. 3. Evaluate different types of ICT oriented contracts.

Reference

1. Project Management: A Managerial Approach, 4 th Edition, Jack Meredith and Samuel Mantel. 2. Project Management: Strategic Design and Implementation, 4th Edition, David Cleveland and Lewis Ireland. 3. Software Project Management, 4th Edition, Mike Cotterel and Bob Hughes. 4. Project Management for Information Systems by James Cadle& Donald Yeates, Prentice Hall, Fourth Edition, ISBN 0-273-68580-5.

MICT1103 | Advanced Artificial Intelligence and Machine Learning

MICT1103

Objective

1. Understand a range of techniques of intelligent systems across artificial intelligence (AI) and intelligent agents (IA); both from a theoretical and a practical perspective. 2. Apply different AI/IA algorithms to solve practical problems. 3. Design and build simple intelligent systems based on AI concepts. 4. To present an overview of artificial intelligence (AI) principles and approaches. 5. Develop a basic understanding of the building blocks ofAI as presented in terms of intelligent agents: Search, Knowledge representation, inference, logic, and learning.

Outcome

1. Identify problems that are amenable to solution by AI methods, and which AI methods may be suited to solving a given problem. 2. Implement basic AI algorithms (e.g., standard search or constraint propagation algorithms). 3. By attending the course the students should acquire a firm grasp of various search techniques and should be able to select an appropriate search technique and apply it in practice. Since search is such a fundamental technique in computer science, the material taught in the course is relevant in contexts other than artificial intelligence.

Reference

1. “Artificial Intelligence: A Modern Approach”, S.J. Russell and P. Norvig. 2. “Intelligent Systems A Modern Approach”, CrinaGrosan, Ajith Abraham 3. “Intelligent Systems for Engineers and Scientists”, Adrian A. Hopgood 4. “Introduction to Artificial Intelligence”, Wolfgang Ertel 5. “Introducing Artificial Intelligence”, Henry Brighton and Howard Selina

MICT1104 | Advanced Telecommunication Network

MICT1104

Objective

The rationale behind this course is to provide the student with an understanding of the evolution of telecommunication networks from traditional Public Switched Telephone Network (PSTN), through the emergence of data networks, local area networks, integrated services digital network (ISDN), broadband ISDN, development of fast packet switching, to the Internet. An overview on the Role of Telecommunications in Developing Countries, Telecommunications Organizations, Telecommunication Standardizations and Services is also provided.

Outcome

The Role of Telecommunications in Developing Countries; Telecommunication Organizations and Standardization; The Public Switched Telephone Network (PSTN); Signals Carried Over the Network; Transmission Media and Systems; Integrated Services Digital Network (ISDN); x-DSL; Internet Technology.

Reference

1. T. Anttalainen: Introduction to Telecommunications Network Engineering, Artech House, Boston, 1999. 2. J. Bellamy: Digital Telephony, John Wiley & Sons, 1991, 580 pp. 3. T. Saadawi: Fundamentals of Telecommunication Networks, John Wiley & Sons, Inc., 1994 4. M.P. Clark: Networks and Telecommunications, John Wiley & Sons, 1991 5. R. L. Freeman: Telecommunication System Engineering, John Wiley & Sons, Second Edition, 1989 6. Pramode K. Verma: ISDN Systems: Architecture, Technology and Applications, Prentice Hall, 1990 7. William Stallings: strong>Advances in ISDN and Broadband ISDN, IEEE Comp. Soc. Press, 1993 8. B. G. Lee, Broadband Telecommunications Technology, Artech House, Boston, 1996 9. P.-G. Fontolliet, Telecommunication Systems, Artech House, 1986 ITU-T Recommendations given in CCITT Blue Books related to PSTN, ISDN, Data Networks, etc.

Semester 2

MICT1201 | Cloud Computing

MICT1201

Objective

1. To understand Cloud and Fog Computing, its evolution and applicability; benefits, as well as current and future challenges; 2. To study the basic ideas and principles in data center design; cloud management techniques and cloud 3. Software deployment considerations; 4. To study different CPU, memory and I/O virtualization techniques that serve in offering software, computationand storage services on the cloud; Software Defined Networks (SDN) and Software Defined Storage(SDS); 5. To learn cloud storage technologies and relevant distributed file systems, NoSQL databases and object storage; 6. To distinguish the variety of programming models and develop working experience in several of them.

Outcome

1. Explain the core concepts of the cloud computing paradigm: how and why this paradigm shift came about, the characteristics, advantages and challenges brought about by the various models and services in cloud computing. 2. Apply fundamental concepts in cloud infrastructures to understand the tradeoffs in power, efficiency and cost, and then study how to leverage and manage single and multiple datacenters to build and deploy cloud applications that are resilient, elastic and cost-efficient. 3. Discuss system, network and storage virtualization and outline their role in enabling the cloud computing system model. 4. Illustrate the fundamental concepts of cloud storage, cloud management and cloud services 5. Analyze various cloud programming models and apply them to solve problems on the cloud.

Reference

1. “Cloud Computing”, John W. Rittinghouse, James F. Ransome 2. “Cloud Computing”, Ray Rafels

MICT1202 | Internet of Things (IoT)

MICT1202

Objective

1. To understand of various physical phenomenon of different types of sensors and microsystems. 2. To design of sensors with appropriate electronic interface as a complete system. 3. To discuss about various types of sensors like magnetic, optical, bio, chemical, radiation, electrical and mechanical etc. 4. To emphasis on the integration of electronics with sensors to provide a smart transducer or a system on a chip with multiple integrated devices.

Outcome

1. Select the right sensor for a given application. 2. Design basic circuit building blocks. 3. Simulate, synthesize, and layout a complete sensor or sensor system, MEMS device or microsystem ready for fabrication tools.

Reference

1. N. V. Kirianaki, S. Y. Yurish, N. O. Shpak V. P. Deynega: Data Acquisition and Signal Processing for Smart Sensors, John Wiley, 2004 2. H. Karl, A. Willig: Protocols and Architectures for Wireless Sensor Networks, John Wiley, 2005 3. M. Ilyas, I. Mahgoub (ed.): Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems, CRC, 2004

MICT1203 | Advanced Database Management Systems

MICT1203

Objective

1. Understand the role of a database management system in an organization. 2. Understand advance database concepts, including the structure and operation of the relational data model. 3. Construct simple and moderately advanced database queries using Structured Query Language (SQL). 4. Understand and successfully apply logical database design principles, including E-R diagrams and database normalization. 5. Design and implement a small database project using Microsoft Access. 6. Understand the advanced concept of a database transaction and related database facilities, including concurrency control, journaling, backup and recovery and data object locking and protocols. 7. Describe and discuss selected advanced database topics, such as distributed database systems and the data warehouse. 8. Understand the role of the database administrator.

Outcome

1. Differentiate database systems from file systems by enumerating the features provided by database systems and describe each in both function and benefit. 2. Define the terminology, features, classifications, and characteristics embodied in database systems. 3. Analyze an information storage problem and derive an information model expressed in the form of an entity relation diagram and other optional analysis forms, such as a data dictionary. 4. Demonstrate an understanding of the relational data model. 5. Transform an information model into a relational database schema and to use a data definition language and/or utilities to implement the schema using anadvance DBMS. 6. Formulate, using relational algebra, solutions to a broad range of query problems. 7. Formulate, using SQL, solutions to a broad range of query and data update problems. 8. Demonstrate an understanding of normalization theory and apply such knowledge to the normalization of a database. 9. Use an SQL interface of a multi-user relational DBMS package to create, secure, populate, maintain, and query a database. 10. Use a desktop database package to create, populate, maintain, and query a database. 11. Demonstrate a rudimentary understanding of programmatic interfaces to a database and be able to use the basic functions of one such interface.

Reference

1. "Database System Concepts", Silberschatz A., Korth H.F. &Sudarshan S., Tata McGraw Hill 2. “Database Management Systems”, Ramakrishnan R. &Gehrke J., McGraw Hill 3. “Database Systems”, Thomas Connolly, Carolyn Begg, Addison Wesley 4. “Fundamentals of Database Systems”, Elmasri & Navathe, Addison Wesley

MICT1204 | Research Methodology

MICT1204

Objective

This course provides a forum for students to discuss and generate ideas on issues related to a variety of applied social research. Students conduct an in-depth study of a research topic of their choice, discuss issues with experts in the field of research, work in discussion groups, debate and problem solve on selected issues. In the research seminar, the students are given an opportunity to integrate their knowledge, skills and practical experience gained in the program.

Outcome

1. Co-ordinate and participate in a seminar(s) on current research issues 2. Successfully implement an in-depth research seminar utilizing field experts and collegial discussions/input. 3. Articulate in writing a formal description of research design and research analysis. 4. Identify and assess data sources and data collection methods for quantitative studies. 5. Assess the reliability and validity of measures. 6. Demonstrate understanding of quantitative data analysis techniques. 7. Interpret analytical results from quantitative studies.

Reference

1. Writing Successful Science Proposals by Andrew J. Friedland, Carol L. Folt, Publisher: Yale University Press; 2 edition (June 9, 2009) 2. The Myths of Innovation (Hardcover) by Scott Berkun, Publisher: O'Reilly Media (August 30, 2010) 3. Pedhazur, E. J. and Schmelkin, L. P. Measurement, Design and Analysis: An Integrated Appoach, Psychology Press, 2013

Semester 3

MICT2101 | Big Data Analytics

MICT2101

Objective

1. Understand the Big Data Platform and its Use cases 2. Provide an overview of Apache Hadoop 3. Provide HDFS Concepts and Interfacing with HDFS 4. Understand Map Reduce Jobs 5. Apply analytics on Structured, Unstructured Data. 6. Exposure to Data Analytics with R.

Outcome

1. Demonstrate knowledge of big data analytics. 2. Demonstrate the ability to think critically in making decisions based on data and deep analytics. 3. Students will demonstrate the ability to use technical skills in predicative and prescriptive modeling to support business decision-making. 4. Students will demonstrate the ability to translate data into clear, actionable insights. 5. Students will demonstrate effective communication skills that facilitate the effective presentation of analysis results.

Reference

1. “Analytics in a Big Data World”,BartBaesens; Wiley 2. “Data Analytics”, Dr. Anil Maheshwari. 3. “Learn Analytics”, Alistair Croll& Benjamin Yoskovitz; Eric Ries Series Editor.

MICT2102 | Advanced Digital Signal Processing

MICT2102

Objective

1. To develop the knowledge on Adaptive filtering. 2. To introduce LMS and RLS algorithm those are fundamental to all DSP techniques. 3. To find out parametric techniques for power spectrum estimation. 4. To study various filter banks.

Outcome

1. Design frequency domain adaptive filter. 2. Learn about power spectrum estimation. 3. know about applications of multirate signal processing.

Reference

1. “Mathematical Methods and Algorithms for Signal Processing”, Moon and Stirling 2. “Theory and Application”, Kay, S. M., Modern Spectral Estimation, Prentice-Hall 2005 . 3. “Foundations of Signal Processing”, Cambridge, M. Vetterli, J. Kovacevic, and V. K. Goyal, 2014.

MICT2103 | Recent Trends in ICT

MICT2103

Objective

Content will be updated soon.

Outcome

Content will be updated soon.

Reference

Content will be updated soon.

Semester 4

MICT2000 | Project

MICT2000

Objective