Robert St Jacques Headshot

Robert St Jacques

Senior Lecturer

Department of Software Engineering
Golisano College of Computing and Information Sciences

Robert St Jacques

Senior Lecturer

Department of Software Engineering
Golisano College of Computing and Information Sciences

Education

BS, MS, Rochester Institute of Technology

Currently Teaching

CSEC-124
4 Credits
A second course that delves further into computational problem solving, now with a focus on an object-oriented perspective. There is a continued emphasis on basic software design, testing & verification, and incremental development. Key topics include theoretical abstractions such as classes, objects, encapsulation, inheritance, interfaces, polymorphism, software design comprising multiple classes with UML, data structures (e.g. lists, trees, sets, maps, and graphs), exception/error handling, I/O including files and networking, concurrency, and graphical user interfaces. Additional topics include basic software design principles (coupling, cohesion, information expert, open-closed principle, etc.), test driven development, design patterns, data integrity, and data security.
GCIS-120
4 Credits
This is a second course that delves further into computational thinking and problem solving, now with a focus on an object-oriented theories and models. Computational thinking involves the thought processes involved in understanding problems and solutions that can be represented as computational steps and algorithms. Computational thinking underlies all theory and application within computing but is found in other domains as well. Computational thinking includes core ideas such as variables, conditional logic, and iteration, along with abstraction, decomposition, and object-oriented thinking. Computational thinking may be done alone or in teams. There is a continued emphasis on basic algorithmic design, abstraction, critical thinking, and incremental development. Key topics include theoretical abstractions such as classes, objects, encapsulation, inheritance, interfaces, polymorphism, and data structures (e.g. lists, trees, sets, maps, and graphs).
GCIS-123
4 Credits
A first course introducing students to the fundamentals of computational problem solving. Students will learn a systematic approach to problem solving, including how to frame a problem in computational terms, how to decompose larger problems into smaller components, how to implement innovative software solutions using a contemporary programming language, how to critically debug their solutions, and how to assess the adequacy of the software solution. Additional topics include an introduction to object-oriented programming and data structures such as arrays and stacks. Students will complete both in-class and out-of-class assignments.
GCIS-124
4 Credits
A second course that delves further into computational problem solving, now with a focus on an object-oriented perspective. There is a continued emphasis on basic software design, testing & verification, and incremental development. Key topics include theoretical abstractions such as classes, objects, encapsulation, inheritance, interfaces, polymorphism, software design comprising multiple classes with UML, data structures (e.g. lists, trees, sets, maps, and graphs), exception/error handling, I/O including files and networking, concurrency, and graphical user interfaces. Additional topics include basic software design principles (coupling, cohesion, information expert, open-closed principle, etc.), test driven development, design patterns, data integrity, and data security.
GCIS-127
4 Credits
This accelerated course covers material from the first-year sequence of computing courses and provides the theoretical and practical foundation for all subsequent computing courses that require software development. The course stresses problem solving while covering modern software models, and theoretical approaches. Concepts of object-oriented design are a large part of the course including theoretical abstractions such as classes, objects, encapsulation, inheritance, interfaces, polymorphism, software design comprising multiple classes, data structures (e.g. lists, trees, sets, maps, and graphs), exception/error handling, concurrency, and graphical user interfaces. Additional topics include basic software design principles (coupling, cohesion, information expertise, open-closed principle, etc.), test driven development, design patterns, data integrity, and data security. The abstract nature of objects is discussed in several domains.
SWEN-124
4 Credits
A second course that delves further into computational problem solving, now with a focus on an object-oriented perspective. There is a continued emphasis on basic software design, testing & verification, and incremental development. Key topics include theoretical abstractions such as classes, objects, encapsulation, inheritance, interfaces, polymorphism, software design comprising multiple classes with UML, data structures (e.g. lists, trees, sets, maps, and graphs), exception/error handling, I/O including files and networking, concurrency, and graphical user interfaces. Additional topics include basic software design principles (coupling, cohesion, information expert, open-closed principle, etc.), test driven development, design patterns, data integrity, and data security.
SWEN-261
3 Credits
An introductory course in software engineering, emphasizing the organizational aspects of software development and software design and implementation by individuals and small teams within a process/product framework. Topics include the software lifecycle, software design, user interface issues, specification and implementation of components, assessing design quality, design reviews and code inspections, software testing, basic support tools, technical communications and system documentation, team-based development. A term-long, team-based project done in a studio format is used to reinforce concepts presented in class.
SWEN-262
3 Credits
An introduction to the principles of the foundations of contemporary software design. Topics include software subsystem modeling, design patterns, design tradeoffs, and component-based software development, with a focus on application of these concepts to concrete design problems. The relationship between design and related process issues such as testing, estimation, and maintenance are also discussed.
SWEN-601
3 Credits
This is a programming based course to enhance individual, technical engineering knowledge and skills as preparation for masters level graduate work in computing. Students will be introduced to programming language syntax, object oriented concepts, data structures and foundational algorithms. An emphasis will be placed on obtaining practical programming skills, through regular programming assignments and practicum.