| 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, other than COMP 180. Three hours classroom and two hours laboratory a week. Offered every semester.
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03:00 PM-05:00 PM, T
TOME 120
09:30 AM-10:20 AM, MWF
TOME 118 |
| 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, other than COMP 180. Three hours classroom and two hours laboratory a week. Offered every semester.
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11:30 AM-12:20 PM, MWF
TOME 118
03:00 PM-05:00 PM, W
TOME 118 |
| COMP 132-01 |
Principles of Object-Oriented Design
Instructor: Michael Skalak
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.
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03:00 PM-05:00 PM, T
TOME 118
10:30 AM-11:20 AM, MWF
TOME 118 |
| COMP 180-01 |
Introduction to Data Science
Instructor: Jeffrey Forrester
Course Description:
Cross-listed with DATA 180-01 and MATH 180-01. An introduction to theprinciples 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 and numerical summaries, and supervised and unsupervisedmachinelearning. The course will include an introduction to computational tools such as the R statistical environment. No prior programming experience is required.Prerequisites: MATH 170 or department placement. This course is cross-listed as DATA 180 and MATH 180.
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09:00 AM-10:15 AM, TR
TOME 121 |
| COMP 180-02 |
Introduction to Data Science
Instructor: Eren Bilen
Course Description:
Cross-listed with DATA 180-02 and MATH 180-02. An introduction to theprinciples 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 and numerical summaries, and supervised and unsupervisedmachinelearning. The course will include an introduction to computational tools such as the R statistical environment. No prior programming experience is required.Prerequisites: MATH 170 or department placement. This course is cross-listed as DATA 180 and MATH 180.
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10:30 AM-11:45 AM, TR
TOME 121 |
| COMP 190-01 |
Tools and Techniques for Software Development
Instructor: Grant Braught
Course Description:
An introduction to the Unix command line environment, shell scripting, system administration, debugging tools and version control. Skills developed will be applied in the context of a Humanitarian Free and Open Source Software (HFOSS) project. Case studies of social, legal and ethical issues raised by computing and computing for the greater good will complement the technical skill development. Prerequisite: 132, may be taken concurrently. One-half credit. Graded CR/NC. 75 minutes of classroom per week. Offered every fall.
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01:30 PM-02:45 PM, W
TOME 231 |
| COMP 190-02 |
Tools and Techniques for Software Development
Instructor: Michael Skalak
Course Description:
An introduction to the Unix command line environment, shell scripting, system administration, debugging tools and version control. Skills developed will be applied in the context of a Humanitarian Free and Open Source Software (HFOSS) project. Case studies of social, legal and ethical issues raised by computing and computing for the greater good will complement the technical skill development. Prerequisite: 132, may be taken concurrently. One-half credit. Graded CR/NC. 75 minutes of classroom per week. Offered every fall.
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01:30 PM-02:45 PM, W
TOME 118 |
| COMP 203-01 |
Information Security
Instructor: Jim Whitmore
Course Description:
Disclosure or loss of sensitive information is a serious consequence of cybersecurity attacks that affects the privacy of individuals, the assets of organizations and the security of nations. This course will explore concepts of information security, along with the practices that information technology professionals employ to protect information and guard against security incidents.
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09:00 AM-10:15 AM, TR
TOME 231 |
| COMP 232-01 |
Data Structures and Problem Solving
Instructor: John MacCormick
Course Description:
An advanced problem-solving course that focuses on the design, analysis and application of data structures including lists, stacks, queues, trees, and hash tables. Concepts in generic and functional programming are introduced. This course also further develops understanding and use of asymptotic analysis.
Prerequisite: 132. Offered every fall.
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10:30 AM-11:45 AM, TR
ALTHSE 106 |
| COMP 331-01 |
Operations Research
Instructor: Dick Forrester
Course Description:
Cross-listed with MATH 331-01. An introduction to deterministic operations research, including linear programming, sensitivity analysis, and duality. Special topics may include transportation and assignment problems, network models, integer programming, and game theory.
Prerequisite: 262. This course is cross-listed as MATH 331. Offered in odd numbered fall semesters.
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09:30 AM-10:20 AM, MWF
TOME 121 |
| COMP 332-01 |
Analysis of Algorithms
Instructor: Dick Forrester
Course Description:
Completion of both COMP 251 and COMP 332 fulfills the WID Requirement. A study of algorithmic approaches to problem-solving and techniques for analyzing and comparing algorithms. Algorithm design strategies such as divide-and-conquer, dynamic programming, and backtracking will be explored in conjunction with problems that they solve and the data structures that they use (e.g. graphs). Topics in computational complexity include formal use of upper, lower and tight asymptotic bounds, analysis of recursive algorithms and lower bound arguments.Prerequisite: 232, MATH 211. Offered every fall.
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01:30 PM-02:45 PM, MR
TOME 231 |
| COMP 356-01 |
Programming Language Structures
Instructor: Farhan Siddiqui
Course Description:
An examination of the major programming language paradigms. The course also explores the basic properties and special facilities of languages representing each paradigm. Topics include data types, scope rules, block structures, procedure calls and parameter types, and storage allocation considerations.
Prerequisite: 232. Offered every fall.
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03:00 PM-04:15 PM, TF
TOME 231 |
| COMP 491-01 |
Fall Senior Seminar
Instructor: Grant Braught
Course Description:
A senior capstone course. Students identify and begin a year-long project with options including honors and independent research projects or participation in a Free and Open Source Software (FOSS) project. Class readings and discussions will focus on 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 will be required.
Prerequisite: 290 and Senior standing. Offered every fall.
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01:30 PM-02:45 PM, TF
TOME 231 |
| COMP 491-02 |
Fall Senior Seminar
Instructor: John MacCormick
Course Description:
A senior capstone course. Students identify and begin a year-long project with options including honors and independent research projects or participation in a Free and Open Source Software (FOSS) project. Class readings and discussions will focus on 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 will be required.
Prerequisite: 290 and Senior standing. Offered every fall.
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01:30 PM-02:45 PM, TF
TOME 232 |
| COMP 500-01 |
6G Networks
Instructor: Farhan Siddiqui
Course Description:
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| COMP 560-01 |
Object Recognition
Instructor: John MacCormick
Course Description:
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