Courses

Laboratory course for CIS 250, Advanced Computer Applications.

Assembly This is a course in composite materials manufacturing. Topics include manufacturing and repair techniques such as core layups, molds, and repairs. The course also covers hot bonders, oven cures, and autoclave operations and their related uses.

Overview of software/hardware architectures of selected RISC/CISC microprocessors, advanced pipelining and instruction level parallelism, superscalar techniques, memory hierarchy design, cache coherency, introduction to multiprocessor systems and interconnection networks.

An advanced study of counseling theories and strategies as they apply to practical situations and special populations.

Advanced study and practice of writing creative nonfiction.

This course examines the interaction between archaeologists, architectural historians, historic preservationists, state and federal governments, and the public with regard to cultural resources. The focus of the course is identification, evaluation, and mitigation of cultural resources. Related topics discussed include public perceptions of the past, ethics, and being a professional in historical preservation.

This course is designed for teachers who have had undergraduate reading education courses and who wish to deepen their understanding of reading processes and reading instruction. It provides a critical study in theory, reading acquisition, assessment, and instruction.

This course examines the cycle between instructional planning, instruction, and assessment for diverse learners. The focus of the course will be alignment between standards/IEP goals, instruction, and assessment, monitoring student programs, and using data to make instructional and programmatic decisions.

Extension of elementary data structures as covered in CIS 121, techniques to organize and access collections of data. Definition, implementation, and use of Classes and Abstract Data Types (ADT). The use of ADTs and objects for solving CIS problems. Network, hierarchical, and relational data models leading to Database Management Systems. Topics include: recursion, search trees, algorithmic complexity, advanced searching and sorting algorithms, and graphs.

Techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: mathematical foundations; all five asymptotic notations; analytic, empirical, and qualitative evaluation techniques; sorting algorithms; balanced trees (2-3-4 trees and red-black trees); dynamic programming; and NP-completeness.