Shams Alam’s Profile

Faculty
Active 3 years, 3 months ago
Shams Alam
Display Name
Shams Alam
Title
Adjunct Lecturer
Department
Computer Engineering Technology
Office Location
New York City College of Technology (City Tech), The City University of New York (CUNY), 186 Jay Street, Brooklyn, NY 11201
Academic interests

Cyber Security, Data Analytics, Digital Transformation, Education IT

Bio

MS in Electrical Engineering, NYU Tandon School of Engineering
BS in Electrical Engineering, Stony Brook University

Over 18 years of professional experience as a Technical Analyst/R&D Engineer/Project Manager in various organizations such as NYU Langone Health, Northwell Health, New York City Department of Health, AT&T, and Riverside Research Institute.

-Graduate certificate in Wireless Telecommunication, NYU Tandon School of Engineering
-Certificate in Business Project Management, New York University
-Certified Six Sigma Green Belt
-SPOC ( SCRUM Product Owner Certified)

Work Phone
631-379-6536
Email address

My Courses

EMT1111 Logic and Problem Solving

EMT1111 Logic and Problem Solving

This course introduces the foundations of problem-solving and computer programming as it is applied to computer engineering technology. It provides a basic understanding of programming techniques, logic, and number systems through hands-on laboratory exercises in a modern programming language. Students will learn Python to understand basic programming concepts a. The course encourages students to cooperate with others and use their imagination, creativity, and problem-solving.

CET4973 | Intro to AI | Fall 2019 | Dr. Mendoza

CET4973 | Intro to AI | Fall 2019 | Dr. Mendoza

Introduction to basic methods of Artificial Intelligence (AI) such as searching, knowledge representation, problem-solving and learning. Through discussions, small projects and examples, students learn what AI is, some of the major developments in the field, promising directions and the techniques for making computers exhibit intelligent behavior. Students make use of available development tools and explore some areas of application such as recommender systems, natural language processing, robotics, and machine learning.

EMT 1111 (Logic and Problem Solving)

EMT 1111 (Logic and Problem Solving)

Logic and Problem Solving This course introduces the foundations of problem-solving and computer programming as it is applied to computer engineering technology. It provides a basic understanding of programming techniques, logic, and number systems through hands-on laboratory exercises in a modern programming language. Students will learn Python to understand basic programming concepts a. The course encourages students to cooperate with others and use their imagination, creativity, and problem-solving.

CET 4773 (Inter Networking Technology)

CET 4773 (Inter Networking Technology)

Technologies, protocols, and techniques used to connect a computer network with other networks through the use of gateways that provide a common method of routing information packets between the networks. Internetworking technology allows computing devices to other internal and external devices, components or systems. Topics include Local Area Networks (LAN) and Wide Area Networks (WAN) implementation, wireless networks implementation, network security, advanced switching and routing configuration, advanced TCP/IP configuration, and network management. In particular, this semester will focus on the content required to obtain the CCENT/CCNA ICND1 certification from CISCO. NOTE: This course was formerly known as Microcomputer Interfacing.

CET 3625 (Applied Analysis Lab)

CET 3625 (Applied Analysis Lab)

This course presents a combination of technical and engineering mathematics concepts for the computer engineering technology students. Technical examples and problems within the engineering technology are presented. The student will use MATLAB to simulate the mathematical concepts presented in class. At course termination, a student should be able to, among other things: Analyze electrical/electronic circuits and compare the mathematical, simulated and practical solutions. Develop computer programs as a valid approach to software development for supporting engineering and scientific applications. Solve computer engineering technology problems including definition, analysis, development and implementations. Understand the importance of applied mathematics used in technology such as the use Differential Equations, Laplace Transforms, Fourier Transform, Matrices and Complex Numbers. Analyze, Implement and interpret the value behind the Fourier Series.

My Projects

Office of the Provost

Office of the Provost

City Tech’s Source for Academic Affairs Information

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