This is the second in a two-course sequence intended for students majoring in mathematics, science, or engineering.
General Education – Mathematical Perspective B: Project-Based CalculusII (Prerequisite: A- or better in MATH-111 or A- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer). The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. It emphasizes the understanding of concepts, and using them to solve physical problems. This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. General Education – Mathematical Perspective A: Project-Based CalculusI (Prerequisites: CSCI-141 with a grade of C- or better or equivalent course.) Lec/Lab 6 (Fall, Spring, Summer).
RIT EDU MATH PLACEMENT EXAM SOFTWARE
Students will also be introduced to a modern integrated software development environment (IDE). Input and output streams, graphical user interfaces, and exception handling are covered. Software qualities related to object orientation, namely cohesion, minimal coupling, modifiability, and extensibility, are all introduced in this course, as well as a few elementary object-oriented design patterns. Concepts of object-oriented design are a large part of the course. stacks, queues, maps, and trees), and static vs. Key topics include more information on tree and graph structures, nested data structures, objects, classes, inheritance, interfaces, object-oriented collection class libraries for abstract data types (e.g. This course delves further into problem solving by continuing the discussion of data structure use and design, but now from an object-oriented perspective. General Education – Elective: Computer ScienceII
RIT EDU MATH PLACEMENT EXAM CODE
Assignments (both in class and for homework) requiring a pseudo code solution and an implementation are an integral part of the course. Specific topics covered include: expression of algorithms in pseudo code and a programming language functional and imperative programming techniques control structures problem solving using recursion basic searching and sorting elementary data structures such as lists, trees, and graphs and correctness, testing and debugging. This course serves as an introduction to computational thinking using a problem-centered approach. General Education – Elective: Computer ScienceI (Co-requisite: CSCI-105 or CSCI-140 or CSCI-141 or equivalent course.) Lab 2 (Fall, Spring). The laboratory provides hands-on experiences of the design, modeling, implementation, and testing of digital systems using commercial IC components as well as CAD tools. Lectures will discuss fundamental design methodologies, state machines, and digital system modeling with the use of VHDL as a hardware description language. Standard modules, such as decoders, multiplexers, shifter registers, adders, and counters, will be analyzed. This course covers the specification, analysis, modeling and design of digital systems. The topics covered include basic circuit analysis, number systems, digital logic, programming, robotics, laboratory equipment, teamwork, critical thinking, technical writing, modern and contemporary issues, ethics, diversity, and communication skills.
This course overviews the field of computer engineering, the computer engineering curriculum at RIT, and research and career opportunities.
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