Course Description

CSSE490/MA490 Data Mining
https://shibberu.com/data-mining/
An introduction to data mining for large data sets, include data preparation, exploration, aggregation/reduction, and visualization. Elementary methods for classification analysis, association analysis, and cluster analysis will be covered. Significant attention will be given to presenting and reporting data mining results.


https://www.rose-hulman.edu/course-catalog/course-catalog-2012-2013/course-descriptions/computer-science-software-engineering.aspx
CSSE 132 Introduction to Computer Systems 3R-3L-4C F,S Pre: CSSE 120
Provides students with an understanding of system level issues and their impact on the design and use of computer systems. Examination of both hardware and software layers. Basic computation structures and digital logic. Representation of instructions, integers, floating point numbers and other data types. System requirements, such as resource management, security, communication and synchronization, and their hardware and/or software implementation. Exploration of multiprocessor and distributed systems. Course topics will be explored using a variety of hands-on assignments and projects.


CSSE 120 Introduction to Software Development 3R-3L-4C F, W, S
An introduction to procedural and object-oriented programming with an emphasis on problem solving. Students will solve problems by developing software in both an interpreted language (Python) and a compiled language (C). Problems may include visualizing scientific or commercial data, interfacing with external hardware such as robots, or solving numeric problems from a variety of engineering disciplines. Procedural programming concepts covered include data types, variables, control structures, arrays, and data I/O. Object-oriented programming concepts covered include object creation and use, object interaction, and the design of simple classes. Software engineering concepts covered include testing, incremental development, understanding requirements, and teamwork.


CSSE 220 Object-Oriented Software Development 3R-3L-4C F,W,S Prerequisite: CSSE 120
Object-oriented programming concepts, including the use of inheritance, interfaces, polymorphism, abstract data types, and encapsulation to enable software reuse and assist in software maintenance. Recursion, GUIs and event handing. Use of common object-based data structures, including stacks, queues, lists, trees, sets, maps, and hash tables. Space/time efficiency analysis. Testing. Introduction to UML.


CSSE 230 Data Structures and Algorithm Analysis 3R-3L-4C W,S Prerequisites: CSSE 220 or CSSE 221 with a grade of C or better, and MA 112
This course reinforces and extends students' understanding of current practices of producing object-oriented software. Students extend their use of a disciplined design process to include formal analysis of space/time efficiency and formal proofs of correctness. Students gain a deeper understanding of concepts from CSSE 220, including implementations of abstract data types by linear and non-linear data structures. This course introduces the use of randomized algorithms. Students design and implement software individually, in small groups, and in a challenging multi-week team project.

MA 102 Differential Calculus 5R-0L-3C W Pre: MA 101
Covers approximately the second half of MA 111, including the derivative, geometrical and physical applications of differentiation, and an introduction to integration and Fundamental Theorem of Calculus. Students who do not transfer to MA 101 in the fall quarter, but do not satisfactorily complete all of MA 111, may use their midterm grade in MA 111 for credit and grade in MA 101 and enter MA 102 at the beginning of the winter quarter.