Spring 2021

Course Code Title/Instructor Meets
COMP 130-01 Introduction to Computing
Instructor: Lev Fruchter
Course Description:
An introduction to computer science as a scientific discipline. The key elements of computer programming will be introduced, using the Python programming language. This leads to techniques for solving problems and conducting scientific investigations via computation. Core topics include: programming constructs such as conditionals, loops, functions, and parameters; data structures such as arrays and dictionaries; libraries and objects; algorithmic techniques such as recursion; and software engineering techniques such as testing and debugging. Additional topics include social, legal and ethical issues raised by computing and computing for the greater good. Students may not take this course for credit if they have already taken another Dickinson Computer Science course. Three hours classroom and two hours laboratory a week. Offered every semester.
1230:MWF   STUART 1104
1500:W   TOME 232
1500:W   TOME 231
COMP 130-02 Introduction to Computing
Instructor: Michael Skalak
Course Description:
An introduction to computer science as a scientific discipline. The key elements of computer programming will be introduced, using the Python programming language. This leads to techniques for solving problems and conducting scientific investigations via computation. Core topics include: programming constructs such as conditionals, loops, functions, and parameters; data structures such as arrays and dictionaries; libraries and objects; algorithmic techniques such as recursion; and software engineering techniques such as testing and debugging. Additional topics include social, legal and ethical issues raised by computing and computing for the greater good. Students may not take this course for credit if they have already taken another Dickinson Computer Science course. Three hours classroom and two hours laboratory a week. Offered every semester.
1130:MWF   TOME 231
1500:R   TOME 118
1130:MWF   TOME 232
1500:R   TOME 232
COMP 132-01 Principles of Object-Oriented Design
Instructor: John MacCormick
Course Description:
An introduction to object-oriented software design using Java. Topics include objects, classes, code modularity and reusability, abstraction, encapsulation, inheritance, polymorphism, and design patterns. Additional topics include unit testing, recursion, empirical and theoretical comparison of elementary algorithms. The lab component focuses on programming as a tool for solving problems and simulating real-world events. Prerequisite: Equivalent of one course of prior programming experience. See Advising Guide for placement advice for 130 and 132. Three hours classroom and two hours laboratory a week. Offered every semester.
0930:MWF   TOME 118
1500:T   TOME 118
COMP 180-01 Introduction to Data Science
Instructor: Jeffrey Forrester
Course Description:
Cross-listed with MATH 180-01. An introduction to the principles and tools of data science focusing on exploratory data analysis. Topics include types of variables, mathematical representations of data, data wrangling and transformations, data visualization, supervised and unsupervised machine learning, and cross-validation. The course will include an introduction to the R statistical environment. No prior programming experience is required. Prerequisite: MATH 170 or any COMP course or department placement. This course is cross-listed as MATH 180.
1030:TR   DIST
COMP 256-01 Computing Abstractions
Instructor: Grant Braught
Course Description:
A broad examination of the role and evolution of the abstraction hierarchies that enable the construction of complex computing systems. Examples spanning the field of computer science will be used, including: machine organization and architecture, data representation, language translation, operating systems, concurrency, networks, and web application architectures. Prerequisite: 132. Three hours of classroom and two hours of laboratory a week. Offered every spring.
1500:R   DIST
1030:MWF   DIST
COMP 290-01 Large-scale and Open Source Software Development
Instructor: Grant Braught
Course Description:
An introduction to large-scale software development through participation in a Humanitarian Free and Open Source Software (HFOSS) project. Readings and discussions will focus on FOSS and HFOSS philosophy, licensing, communication tools, project and community organization, and software engineering topics related to large-scale software development. Case studies of social, legal and ethical issues raised by computing and computing for the greater good will complement participation in the HFOSS project. Prerequisites: 132 and 190. One-half credit. Graded CR/NC. 75 minutes of classroom per week. Offered every spring.
1330:W   TOME 231
COMP 314-01 Computability and Complexity
Instructor: John MacCormick
Course Description:
Cross-listed with MATH 314-01. An introduction to the theory of computation, addressing the fundamental question of what problems can be solved using computers, both in principle and when efficiency is taken into account. Topics may include: finite automata, undecidable problems (such as the halting problem), Turing machines, regular languages, context-free grammars, universal computation, elementary complexity classes, NP-completeness, and the P vs NP problem.Prerequisites: 132 and MATH 211. This course is cross-listed as MATH 314. Offered every spring.
1030:TR   TOME 118
COMP 352-01 Computer Networks
Instructor: Farhan Siddiqui
Course Description:
An introduction to the fundamental concepts in computer networking with a focus on the Internets architecture and protocols. Topics include layered architectures, client-server computing, routing, switching, reliable and unreliable protocols, data encoding and compression, error detection and correction, flow control, congestion control, and network performance metrics. Additional topics may include wireless networks and security Prerequisite: 232 and 256.
1330:MR   TOME 118
COMP 393-01 Cyber Security
Instructor: Jim Whitmore
Course Description:
Modern network connected devices are increasingly subject to malicious or unintentional threats that can affect system availability, integrity and the confidentiality of sensitive information. This course explores the topic of cybersecurity from a software designers perspective. The lectures will investigate methods for threat analysis. The lab exercises will demonstrate a range of security related functions, flaws and mitigations that software developers need to consider when building software systems that operate in networked environments.
0900:TR   DIST
COMP 492-01 Spring Senior Seminar
Instructor: Farhan Siddiqui
Course Description:
A continuation of the senior capstone course. Students continue the year-long project begun in 491. Class readings and discussions will focus on additional social, legal and ethical issues in computing, software engineering topics and contemporary issues in computer science. Written and oral presentation of technical and non-technical content and a final public presentation of the completed project will be required. Prerequisite: 491. Offered every spring.
1330:TF   TOME 231
COMP 550-01 Genetic Algorithms and Graph Colorings
Instructor: Barry Tesman
Course Description:
 
COMP 560-01 Faculty/Student Collaborative Research: Object Recognition
Instructor: John MacCormick
Course Description: