Course descriptions

Principles of programming language design. Specification of syntax and semantics. Underlying implementation of block structured languages. Dynamic memory allocation for strings, lists and arrays. Imperative versus applicative programming. First order logic and logic programming. Lambda calculus and functional programming languages. Modern programming languages.

In-depth study of object-oriented design patterns. Topics include: creational patterns, structural patterns, and behavioral patterns. Pattern's intent, motivation, applicability, participants, collaborations, consequences, and implementations.

In-depth study of object-oriented design patterns. Topics include: creational patterns, structural patterns, and behavioral patterns. Pattern's intent, motivation, applicability, participants, collaborations, consequences, and implementations.

In-depth study of object-oriented design patterns. Topics include: creational patterns, structural patterns, and behavioral patterns. Pattern's intent, motivation, applicability, participants, collaborations, consequences, and implementations.

Introduction to software engineering. Topics include software development life cycle, software processes, requirements engineering, software architecture and design, software testing, software evolution, and software modeling using UML.

Introduction to software engineering. Topics include software development life cycle, software processes, requirements engineering, software architecture and design, software testing, software evolution, and software modeling using UML.

Introduction to software engineering. Topics include software development life cycle, software processes, requirements engineering, software architecture and design, software testing, software evolution, and software modeling using UML.

Introduction to modern business analysis. Topics include: planning and monitoring, elicitation, requirements, analysis, solution assessment and validation, requirements management and communication, business problems identification, business cases development and plans for achieving effective solutions.

Introduction to modern business analysis. Topics include: planning and monitoring, elicitation, requirements, analysis, solution assessment and validation, requirements management and communication, business problems identification, business cases development and plans for achieving effective solutions.

Introduction to modern business analysis. Topics include: planning and monitoring, elicitation, requirements, analysis, solution assessment and validation, requirements management and communication, business problems identification, business cases development and plans for achieving effective solutions.

Fundamentals of Database Management Systems. Modern database models. Basic database management concepts. Query languages. Relational algebra and relational calculus. Database design through normalization. Development experience in a team environment.

Fundamentals of Database Management Systems. Modern database models. Basic database management concepts. Query languages. Relational algebra and relational calculus. Database design through normalization. Development experience in a team environment.

Fundamentals of Database Management Systems. Modern database models. Basic database management concepts. Query languages. Relational algebra and relational calculus. Database design through normalization. Development experience in a team environment.

Introduction to mobile application development. Topics include creating and deploying mobile applications, development approaches, programming languages, frameworks, application architecture, event-driven programming, model-view-controller, user interface and usability.

Introduction to mobile application development. Topics include creating and deploying mobile applications, development approaches, programming languages, frameworks, application architecture, event-driven programming, model-view-controller, user interface and usability.

Introduction to mobile application development. Topics include creating and deploying mobile applications, development approaches, programming languages, frameworks, application architecture, event-driven programming, model-view-controller, user interface and usability.

Introduction to visual representation methods and techniques for increasing the understanding of complex data. Topics include: human visual perception, visualization design principles, interactive visualization techniques, and application of visualization in analyzing complex data from various fields.

Introduction to visual representation methods and techniques for increasing the understanding of complex data. Topics include: human visual perception, visualization design principles, interactive visualization techniques, and application of visualization in analyzing complex data from various fields.

Introduction to visual representation methods and techniques for increasing the understanding of complex data. Topics include: human visual perception, visualization design principles, interactive visualization techniques, and application of visualization in analyzing complex data from various fields.

Introduction to machine learning principles, algorithms and applications. Topics include regression, classification, clustering, artificial neural networks and model evaluation.

Introduction to machine learning principles, algorithms and applications. Topics include regression, classification, clustering, artificial neural networks and model evaluation.

Introduction to machine learning principles, algorithms and applications. Topics include regression, classification, clustering, artificial neural networks and model evaluation.

Internship in computer science provides students with an opportunity to integrate theory and practice in a work setting. The course helps students to grow professionally and intellectually. It also sharpens their communication and teamwork skills. Enrolled students are required to complete a minimum of 150 working hours at approved organizations.

Internship in computer science provides students with an opportunity to integrate theory and practice in a work setting. The course helps students to grow professionally and intellectually. It also sharpens their communication and teamwork skills. Enrolled students are required to complete a minimum of 150 working hours at approved organizations.

Internship in computer science provides students with an opportunity to integrate theory and practice in a work setting. The course helps students to grow professionally and intellectually. It also sharpens their communication and teamwork skills. Enrolled students are required to complete a minimum of 150 working hours at approved organizations.

Introduction to eCommerce. Topics include electronic data interchange, digital currency, electronic catalogs, telecommunications infrastructure, data warehousing, software agents, storage retrieval, cryptographic techniques, and different levels of security.

Introduction to eCommerce. Topics include electronic data interchange, digital currency, electronic catalogs, telecommunications infrastructure, data warehousing, software agents, storage retrieval, cryptographic techniques, and different levels of security.

Introduction to eCommerce. Topics include electronic data interchange, digital currency, electronic catalogs, telecommunications infrastructure, data warehousing, software agents, storage retrieval, cryptographic techniques, and different levels of security.

Introduction to user interface design principles and techniques. Topics include user and task analysis, interaction design, interaction elements and styles, design patterns, visual communication, prototyping, and evaluation of different user interfaces.

Introduction to user interface design principles and techniques. Topics include user and task analysis, interaction design, interaction elements and styles, design patterns, visual communication, prototyping, and evaluation of different user interfaces.

Introduction to user interface design principles and techniques. Topics include user and task analysis, interaction design, interaction elements and styles, design patterns, visual communication, prototyping, and evaluation of different user interfaces.

Techniques for software validation and verification. Topics include: concepts of software quality (metrics, assurance, planning & implementation, process standards, validation, verification, reviews, walkthroughs and inspections). Software testing process and techniques at different levels. Validating test data.

Techniques for software validation and verification. Topics include: concepts of software quality (metrics, assurance, planning & implementation, process standards, validation, verification, reviews, walkthroughs and inspections). Software testing process and techniques at different levels. Validating test data.

Techniques for software validation and verification. Topics include: concepts of software quality (metrics, assurance, planning & implementation, process standards, validation, verification, reviews, walkthroughs and inspections). Software testing process and techniques at different levels. Validating test data.

Introduction to software maintenance and re-engineering. Topics include evolution and maintenance models, re-engineering, legacy information systems, impact analysis, refactoring, program comprehension, principles of reuse and reverse engineering, approaches, and tools used to extract information from existing software systems.

Introduction to software maintenance and re-engineering. Topics include evolution and maintenance models, re-engineering, legacy information systems, impact analysis, refactoring, program comprehension, principles of reuse and reverse engineering, approaches, and tools used to extract information from existing software systems.

Introduction to software maintenance and re-engineering. Topics include evolution and maintenance models, re-engineering, legacy information systems, impact analysis, refactoring, program comprehension, principles of reuse and reverse engineering, approaches, and tools used to extract information from existing software systems.

Principles and techniques for designing and implementing a compiler. Topics include lexical analysis, parsing techniques, syntax-directed translation, intermediate languages, and code generation.

Principles and techniques for designing and implementing a compiler. Topics include lexical analysis, parsing techniques, syntax-directed translation, intermediate languages, and code generation.

Principles and techniques for designing and implementing a compiler. Topics include lexical analysis, parsing techniques, syntax-directed translation, intermediate languages, and code generation.

Survey of artificial intelligence techniques. Topics include search, logic, knowledge representation, reasoning with uncertainty, learning, and other AI techniques.

Survey of artificial intelligence techniques. Topics include search, logic, knowledge representation, reasoning with uncertainty, learning, and other AI techniques.

Survey of artificial intelligence techniques. Topics include search, logic, knowledge representation, reasoning with uncertainty, learning, and other AI techniques.

Introduction to digital image processing. Topics include Digital image fundamentals, intensity transformations, and spatial filtering, filtering in frequency domain, Image restoration and reconstruction, Color image processing, Image compression, and Image segmentation.

Introduction to digital image processing. Topics include Digital image fundamentals, intensity transformations, and spatial filtering, filtering in frequency domain, Image restoration and reconstruction, Color image processing, Image compression, and Image segmentation.

Introduction to digital image processing. Topics include Digital image fundamentals, intensity transformations, and spatial filtering, filtering in frequency domain, Image restoration and reconstruction, Color image processing, Image compression, and Image segmentation.

The senior capstone course provides computer science students the opportunity to employ knowledge gained from courses throughout the curriculum to develop a software solution to a real-world problem from conception to completion. Students work in teams to develop software applications. Advanced methods related to requirements analysis, software design, project management, documentation and testing, programming techniques, and database designs will be applied on an incremental basis since the emphasis is on semester-long capstone team projects.

The senior capstone course provides computer science students the opportunity to employ knowledge gained from courses throughout the curriculum to develop a software solution to a real-world problem from conception to completion. Students work in teams to develop software applications. Advanced methods related to requirements analysis, software design, project management, documentation and testing, programming techniques, and database designs will be applied on an incremental basis since the emphasis is on semester-long capstone team projects.

The senior capstone course provides computer science students the opportunity to employ knowledge gained from courses throughout the curriculum to develop a software solution to a real-world problem from conception to completion. Students work in teams to develop software applications. Advanced methods related to requirements analysis, software design, project management, documentation and testing, programming techniques, and database designs will be applied on an incremental basis since the emphasis is on semester-long capstone team projects.

This course is an in-depth study of software development processes in the context of an actual project. Discussion includes object-oriented processes, such as Rational Unified Process, as well as process management issues such as scheduling, risk-assessment, various metrics, and the selection of appropriate development methodology and tools.