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City Tech’s ENG 1101 course prepares you for the kinds of communication, research, and literacy that you will use throughout your academic and professional careers. Furthermore, it develops students’ understanding, application, and critical awareness of two big ideas: 1) 1) Communication is rhetorical, and 2) Communication is multimodal, or WOVEN (written, oral, visual, electronic, and nonverbal). Through a series of process-driven projects, some of which are individually based and others collaborative, you will gain a deeper understanding of effective and persuasive communication techniques while developing your critical thinking skills and multiple literacies. Each ENG 1101 class is unique, because while each one has the same basic outcomes, each is taught by an instructor with his or her own research and pedagogical approach. In our class, we will use the interdisciplinary field of the neurosciences as a way to focus our conversations and projects. Of course, communication is about the transference of information via the senses and processed by each audience member’s brain. In addition, the brain and its embodied perception systems define how we are most receptive to receiving communications, thinking about communications, and being persuaded by communications. If we understand how the brain/body works, we can apply this knowledge to being more effective communicators and successful professionals.

City Tech’s ENG 1101 course prepares you for the kinds of communication, research, and literacy that you will use throughout your academic and professional careers. Furthermore, it develops students’ understanding, application, and critical awareness of two big ideas: 1) 1) Communication is rhetorical, and 2) Communication is multimodal, or WOVEN (written, oral, visual, electronic, and nonverbal). Through a series of process-driven projects, some of which are individually based and others collaborative, you will gain a deeper understanding of effective and persuasive communication techniques while developing your critical thinking skills and multiple literacies. Each ENG 1101 class is unique, because while each one has the same basic outcomes, each is taught by an instructor with his or her own research and pedagogical approach. In our class, we will use the interdisciplinary field of the neurosciences as a way to focus our conversations and projects. Of course, communication is about the transference of information via the senses and processed by each audience member’s brain. In addition, the brain and its embodied perception systems define how we are most receptive to receiving communications, thinking about communications, and being persuaded by communications. If we understand how the brain/body works, we can apply this knowledge to being more effective communicators and successful professionals.

MAT 2675 – Calculus 3 – Spring 2019 [OER]

MAT 2675 – Calculus 3 – Spring 2019 [OER]

A 3 credit but 4 hour introductory course. Topics include sample space, expectation and variance, binomial, Poisson, normal, student and chi-square distributions, confidence interval, hypothesis testing, correlation and regression. Students do a group project comparing 2 numeric variables and present at the end of the semester. The extra classroom hour is designed to facilitate a hands-on feel to the course including a heavy use of R supplemented by some use of MS Excel.

A 3 credit but 4 hour introductory course. Topics include sample space, expectation and variance, binomial, Poisson, normal, student and chi-square distributions, confidence interval, hypothesis testing, correlation and regression. Students do a group project comparing 2 numeric variables and present at the end of the semester. The extra classroom hour is designed to facilitate a hands-on feel to the course including a heavy use of R supplemented by some use of MS Excel.

This course introduces the foundations of discrete mathematics as they apply to computer science, focusing on providing a solid theoretical foundation for further work. Topics include functions, relations, sets, simple proof techniques, Boolean algebra, propositional logic, elementary number theory, writing, analyzing and testing algorithms.

This course introduces the foundations of discrete mathematics as they apply to computer science, focusing on providing a solid theoretical foundation for further work. Topics include functions, relations, sets, simple proof techniques, Boolean algebra, propositional logic, elementary number theory, writing, analyzing and testing algorithms.

CST 1101 introduces concepts of problem solving using constructs of logic inherent in computer programming languages. Augmented by high level computer tools, enabling solutions to common algorithmic problems. Use of flowcharts to diagram problem solutions. Object oriented packages, flowcharting tools and viewing generated software code.

CST 1101 introduces concepts of problem solving using constructs of logic inherent in computer programming languages. Augmented by high level computer tools, enabling solutions to common algorithmic problems. Use of flowcharts to diagram problem solutions. Object oriented packages, flowcharting tools and viewing generated software code.