COVID-19: Essential Information

Sections

« Winter 2021 Spring 2021 Fall 2021 »

CSCI0145A-S21

CRN: 22639

Introduction to Computing
Introduction to Computing
In this course we will provide a broad introductory overview of the discipline of computer science, with no prerequisites or assumed prior knowledge of computers or programming. A significant component of the course is an introduction to algorithmic concepts and to programming using Python; programming assignments will explore algorithmic strategies such as selection, iteration, divide-and-conquer, and recursion, as well as introducing the Python programming language. Additional topics will include: the structure and organization of computers, the Internet and World Wide Web, abstraction as a means of managing complexity, social and ethical computing issues, and the question "What is computation?" (Juniors and Seniors by waiver) (formerly CSCI 0101) 3 hr. lect./1 hr. lab

CSCI0145B-S21

CRN: 22640

Introduction to Computing
Introduction to Computing
In this course we will provide a broad introductory overview of the discipline of computer science, with no prerequisites or assumed prior knowledge of computers or programming. A significant component of the course is an introduction to algorithmic concepts and to programming using Python; programming assignments will explore algorithmic strategies such as selection, iteration, divide-and-conquer, and recursion, as well as introducing the Python programming language. Additional topics will include: the structure and organization of computers, the Internet and World Wide Web, abstraction as a means of managing complexity, social and ethical computing issues, and the question "What is computation?" (Juniors and Seniors by waiver) (formerly CSCI 0101) 3 hr. lect./1 hr. lab

CSCI0150A-S21

CRN: 21427

Computing for the Sciences
Computing for the Sciences
In this course we will provide an introduction to the field of computer science geared towards students interested in mathematics and the natural sciences. We will study problem-solving approaches and computational techniques utilized in a variety of domains including biology, chemistry, physics, and engineering. Students will learn how to program in Python and other languages, how to extract information from large data sets, and how to utilize a variety of tools employed in scientific computation. The course has no prerequisites and assumes no prior experience with programming or computer science. (Juniors and Seniors by waiver) 3 hrs. lect./lab

CSCI0150X-S21

CRN: 22642

Computing for the Sciences
Computing for the Sciences Lab
Computing for the Sciences
In this course we will provide an introduction to the field of computer science geared towards students interested in mathematics and the natural sciences. We will study problem-solving approaches and computational techniques utilized in a variety of domains including biology, chemistry, physics, and engineering. Students will learn how to program in Python and other languages, how to extract information from large data sets, and how to utilize a variety of tools employed in scientific computation. The course has no prerequisites and assumes no prior experience with programming or computer science. (Juniors and Seniors by waiver) 3 hrs. lect./lab

CSCI0150Y-S21

CRN: 22643

Computing for the Sciences
Computing for the Sciences Lab
Computing for the Sciences
In this course we will provide an introduction to the field of computer science geared towards students interested in mathematics and the natural sciences. We will study problem-solving approaches and computational techniques utilized in a variety of domains including biology, chemistry, physics, and engineering. Students will learn how to program in Python and other languages, how to extract information from large data sets, and how to utilize a variety of tools employed in scientific computation. The course has no prerequisites and assumes no prior experience with programming or computer science. (Juniors and Seniors by waiver) 3 hrs. lect./lab

CSCI0150Z-S21

CRN: 22644

Computing for the Sciences
Computing for the Sciences Lab
Computing for the Sciences
In this course we will provide an introduction to the field of computer science geared towards students interested in mathematics and the natural sciences. We will study problem-solving approaches and computational techniques utilized in a variety of domains including biology, chemistry, physics, and engineering. Students will learn how to program in Python and other languages, how to extract information from large data sets, and how to utilize a variety of tools employed in scientific computation. The course has no prerequisites and assumes no prior experience with programming or computer science. (Juniors and Seniors by waiver) 3 hrs. lect./lab

CSCI0200A-S21

CRN: 21006

Math Foundations of Computing
Mathematical Foundations of Computing
In this course we will provide an introduction to the mathematical foundations of computer science, with an emphasis on formal reasoning. Topics will include propositional and predicate logic, sets, functions, and relations; basic number theory; mathematical induction and other proof methods; combinatorics, probability, and recurrence relations; graph theory; and models of computation. (One CSCI course at the 0100-level) (Juniors and Seniors by waiver) 3 hrs. lect./lab

CSCI0200B-S21

CRN: 21604

Math Foundations of Computing
Mathematical Foundations of Computing
In this course we will provide an introduction to the mathematical foundations of computer science, with an emphasis on formal reasoning. Topics will include propositional and predicate logic, sets, functions, and relations; basic number theory; mathematical induction and other proof methods; combinatorics, probability, and recurrence relations; graph theory; and models of computation. (One CSCI course at the 0100-level) (Juniors and Seniors by waiver) 3 hrs. lect./lab

CSCI0201A-S21

CRN: 20044

Data Structures
Data Structures
In this course we will study the ideas and structures helpful in designing algorithms and writing programs for solving large, complex problems. The Java programming language and object-oriented paradigm are introduced in the context of important abstract data types (ADTs) such as stacks, queues, trees, and graphs. We will study efficient implementations of these ADTs, and learn classic algorithms to manipulate these structures for tasks such as sorting and searching. Prior programming experience is expected, but prior familiarity with the Java programming language is not assumed. (One CSCI course at the 0100-level) (Juniors and Seniors by waiver) 3 hrs. lect./lab

CSCI0201B-S21

CRN: 22647

Data Structures
Data Structures
In this course we will study the ideas and structures helpful in designing algorithms and writing programs for solving large, complex problems. The Java programming language and object-oriented paradigm are introduced in the context of important abstract data types (ADTs) such as stacks, queues, trees, and graphs. We will study efficient implementations of these ADTs, and learn classic algorithms to manipulate these structures for tasks such as sorting and searching. Prior programming experience is expected, but prior familiarity with the Java programming language is not assumed. (One CSCI course at the 0100-level) (Juniors and Seniors by waiver) 3 hrs. lect./lab

CSCI0201C-S21

CRN: 22648

Data Structures
Data Structures
In this course we will study the ideas and structures helpful in designing algorithms and writing programs for solving large, complex problems. The Java programming language and object-oriented paradigm are introduced in the context of important abstract data types (ADTs) such as stacks, queues, trees, and graphs. We will study efficient implementations of these ADTs, and learn classic algorithms to manipulate these structures for tasks such as sorting and searching. Prior programming experience is expected, but prior familiarity with the Java programming language is not assumed. (One CSCI course at the 0100-level) (Juniors and Seniors by waiver) 3 hrs. lect./lab

CSCI0201Z-S21

CRN: 21363

Data Structures
Data Structures Lab
Data Structures
In this course we will study the ideas and structures helpful in designing algorithms and writing programs for solving large, complex problems. The Java programming language and object-oriented paradigm are introduced in the context of important abstract data types (ADTs) such as stacks, queues, trees, and graphs. We will study efficient implementations of these ADTs, and learn classic algorithms to manipulate these structures for tasks such as sorting and searching. Prior programming experience is expected, but prior familiarity with the Java programming language is not assumed. (One CSCI course at the 0100-level) (Juniors and Seniors by waiver) 3 hrs. lect./lab

CSCI0202A-S21

CRN: 21364

Computer Architecture
Computer Architecture
A detailed study of the hardware and software that make up a computer system. Topics include assembly language programming, digital logic design, microarchitecture, pipelines, caches, and RISC vs. CISC. The goal of the course is teach students how computers are built, how they work at the lowest level, and how this knowledge can be used to write better programs. (CSCI 0201) (Seniors by waiver) 3 hrs. lect./lab

CSCI0202B-S21

CRN: 21514

Computer Architecture
Computer Architecture
A detailed study of the hardware and software that make up a computer system. Topics include assembly language programming, digital logic design, microarchitecture, pipelines, caches, and RISC vs. CISC. The goal of the course is teach students how computers are built, how they work at the lowest level, and how this knowledge can be used to write better programs. (CSCI 0201) (Seniors by waiver) 3 hrs. lect./lab

CSCI0301A-S21

CRN: 21608

Theory of Computation
Theory of Computation
This course explores the nature of computation and what it means to compute. We study important models of computation (finite automata, push-down automata, and Turing machines) and investigate their fundamental computational power. We examine various problems and try to determine the computational power needed to solve them. Topics include deterministic versus non-deterministic computation, and a theoretical basis for the study of NP-completeness. (CSCI 0200 and CSCI 0201) 3 hrs. lect./disc.

CSCI0301X-S21

CRN: 22649

Theory of Computation
Theory of Computation Lab
Theory of Computation
This course explores the nature of computation and what it means to compute. We study important models of computation (finite automata, push-down automata, and Turing machines) and investigate their fundamental computational power. We examine various problems and try to determine the computational power needed to solve them. Topics include deterministic versus non-deterministic computation, and a theoretical basis for the study of NP-completeness. (CSCI 0200 and CSCI 0201) 3 hrs. lect./disc.

CSCI0301Y-S21

CRN: 22650

Theory of Computation
Theory of Computation Lab
Theory of Computation
This course explores the nature of computation and what it means to compute. We study important models of computation (finite automata, push-down automata, and Turing machines) and investigate their fundamental computational power. We examine various problems and try to determine the computational power needed to solve them. Topics include deterministic versus non-deterministic computation, and a theoretical basis for the study of NP-completeness. (CSCI 0200 and CSCI 0201) 3 hrs. lect./disc.

CSCI0301Z-S21

CRN: 22651

Theory of Computation
Theory of Computation Lab
Theory of Computation
This course explores the nature of computation and what it means to compute. We study important models of computation (finite automata, push-down automata, and Turing machines) and investigate their fundamental computational power. We examine various problems and try to determine the computational power needed to solve them. Topics include deterministic versus non-deterministic computation, and a theoretical basis for the study of NP-completeness. (CSCI 0200 and CSCI 0201) 3 hrs. lect./disc.

CSCI0302A-S21

CRN: 20339

Algorithms and Complexity
Algorithms and Complexity
This course focuses on the development of correct and efficient algorithmic solutions to computational problems, and on the underlying data structures to support these algorithms. Topics include computational complexity, analysis of algorithms, proof of algorithm correctness, advanced data structures such as balanced search trees, and also important algorithmic techniques including greedy and dynamic programming. The course complements the treatment of NP-completeness in CSCI 0301. (CSCI 0200 and CSCI 0201) 3 hrs. lect./disc.

CSCI0302B-S21

CRN: 22652

Algorithms and Complexity
Algorithms and Complexity
This course focuses on the development of correct and efficient algorithmic solutions to computational problems, and on the underlying data structures to support these algorithms. Topics include computational complexity, analysis of algorithms, proof of algorithm correctness, advanced data structures such as balanced search trees, and also important algorithmic techniques including greedy and dynamic programming. The course complements the treatment of NP-completeness in CSCI 0301. (CSCI 0200 and CSCI 0201) 3 hrs. lect./disc.

CSCI0311A-S21

CRN: 21809

Artificial Intelligence
Artificial Intelligence
Artificial Intelligence (AI) is the study of computational systems that exhibit rational behavior. Applications include strategic game playing, medical diagnosis, speech and handwriting recognition, Internet search, and robotics. Course topics include intelligent agent architectures, search, knowledge representation, logical reasoning, planning, reasoning under uncertainty, machine learning, and perception and action. (CSCI 0200 and CSCI 0201) 3 hrs. lect./lab

CSCI0311Y-S21

CRN: 22653

Artificial Intelligence
Artificial Intelligence Lab
Artificial Intelligence
Artificial Intelligence (AI) is the study of computational systems that exhibit rational behavior. Applications include strategic game playing, medical diagnosis, speech and handwriting recognition, Internet search, and robotics. Course topics include intelligent agent architectures, search, knowledge representation, logical reasoning, planning, reasoning under uncertainty, machine learning, and perception and action. (CSCI 0200 and CSCI 0201) 3 hrs. lect./lab

CSCI0311Z-S21

CRN: 22654

Artificial Intelligence
Artificial Intelligence Lab
Artificial Intelligence
Artificial Intelligence (AI) is the study of computational systems that exhibit rational behavior. Applications include strategic game playing, medical diagnosis, speech and handwriting recognition, Internet search, and robotics. Course topics include intelligent agent architectures, search, knowledge representation, logical reasoning, planning, reasoning under uncertainty, machine learning, and perception and action. (CSCI 0200 and CSCI 0201) 3 hrs. lect./lab

CSCI0312A-S21

CRN: 21474

Software Development
Software Development
This course examines the process of developing larger-scale software systems. Laboratory assignments emphasize sound programming practices, tools that facilitate the development process, and teamwork. (CSCI 0200 and CSCI 0201) 3 hrs. lect./lab

CSCI0312B-S21

CRN: 22655

Software Development
Software Development
This course examines the process of developing larger-scale software systems. Laboratory assignments emphasize sound programming practices, tools that facilitate the development process, and teamwork. (CSCI 0200 and CSCI 0201) 3 hrs. lect./lab

CSCI0318A-S21

CRN: 22429

OOP & GUI Application Dev
Object-Oriented Programming and GUI Application Development
In this coding-intensive course students will deepen their understanding of data structures, algorithms, and object-oriented programming concepts through development of GUI (Graphical User Interface) applications. After a brief introduction to C++ and our development environment, Qt, we will immerse ourselves in them through work on an array of application development projects. Along the way, we will be introduced to a number of software development principles and build an understanding of fundamental object-oriented concepts in C++, including classes and inheritance, templates, pointers, constructors/destructors, and ownership. (CSCI 0202 or by waiver) 3 hrs lect./disc.

CSCI0333A-S21

CRN: 22656

Quantum Computing
Quantum Computing
In this course we will explore how quantum mechanics can be applied to problems in communications, algorithms, detection, and cryptography. We will learn how features such as entanglement, superposition, and no-cloning can sometimes give quantum systems an advantage over standard “classical” computers. We will also discuss the current situation and challenges facing experimental quantum computers, as well as the limits of quantum computing. No previous experience with quantum mechanics is required. (MATH 0200) 3 hrs lect./disc.

CSCI0451A-S21

CRN: 22407

Machine Learning
Machine Learning
Machine Learning is the study and design of computational systems that automatically improve their performance through experience. This course introduces the theory and practice of machine learning and its application to tasks such as database mining, pattern recognition, and strategic game-playing. Possible topics include decision-tree methods, neural networks, Bayesian and statistical methods, genetic algorithms, and reinforcement learning. (CSCI 0200 and CSCI 0201 and MATH 0200) 3 hrs. lect./lab

CSCI0455A-S21

CRN: 22218

Drone Robotics
Drone Robotics
In this course we will introduce the fundamental concepts of robotics, specifically focusing on drones using current research and applications. Topics will include drone control, flight planning, obstacle avoidance, and sensing. We will utilize tools from computer vision, image processing, and artificial intelligence, and we will complete experiments using small drones in compliance with college policy. (CSCI 0200 and CSCI 201) 3 hrs. lect./lab

CSCI0455Z-S21

CRN: 22657

Drone Robotics
Drone Robotics Lab
Drone Robotics
In this course we will introduce the fundamental concepts of robotics, specifically focusing on drones using current research and applications. Topics will include drone control, flight planning, obstacle avoidance, and sensing. We will utilize tools from computer vision, image processing, and artificial intelligence, and we will complete experiments using small drones in compliance with college policy. (CSCI 0200 and CSCI 201) 3 hrs. lect./lab

CSCI0500A-S21

CRN: 20262

Advanced Study
Advanced Study
Individual study for qualified students in more advanced topics in computer science theory, systems, or application areas. Particularly suited for students who enter with advanced standing. (Approval required) 3 hrs. lect.

CSCI0500B-S21

CRN: 20459

Advanced Study
Advanced Study
Individual study for qualified students in more advanced topics in computer science theory, systems, or application areas. Particularly suited for students who enter with advanced standing. (Approval required) 3 hrs. lect.

CSCI0500C-S21

CRN: 20507

Advanced Study
Advanced Study
Individual study for qualified students in more advanced topics in computer science theory, systems, or application areas. Particularly suited for students who enter with advanced standing. (Approval required) 3 hrs. lect.

CSCI0500D-S21

CRN: 20508

Advanced Study
Advanced Study
Individual study for qualified students in more advanced topics in computer science theory, systems, or application areas. Particularly suited for students who enter with advanced standing. (Approval required) 3 hrs. lect.

CSCI0500E-S21

CRN: 20509

Advanced Study
Advanced Study
Individual study for qualified students in more advanced topics in computer science theory, systems, or application areas. Particularly suited for students who enter with advanced standing. (Approval required) 3 hrs. lect.

CSCI0500F-S21

CRN: 20628

Advanced Study
Advanced Study
Individual study for qualified students in more advanced topics in computer science theory, systems, or application areas. Particularly suited for students who enter with advanced standing. (Approval required) 3 hrs. lect.

CSCI0500G-S21

CRN: 21289

Advanced Study
Advanced Study
Individual study for qualified students in more advanced topics in computer science theory, systems, or application areas. Particularly suited for students who enter with advanced standing. (Approval required) 3 hrs. lect.

CSCI0500H-S21

CRN: 21505

Advanced Study
Advanced Study
Individual study for qualified students in more advanced topics in computer science theory, systems, or application areas. Particularly suited for students who enter with advanced standing. (Approval required) 3 hrs. lect.

CSCI0500I-S21

CRN: 21629

Advanced Study
Advanced Study
Individual study for qualified students in more advanced topics in computer science theory, systems, or application areas. Particularly suited for students who enter with advanced standing. (Approval required) 3 hrs. lect.

CSCI0500J-S21

CRN: 21630

Advanced Study
Advanced Study
Individual study for qualified students in more advanced topics in computer science theory, systems, or application areas. Particularly suited for students who enter with advanced standing. (Approval required) 3 hrs. lect.

CSCI0500K-S21

CRN: 21714

Advanced Study
Advanced Study
Individual study for qualified students in more advanced topics in computer science theory, systems, or application areas. Particularly suited for students who enter with advanced standing. (Approval required) 3 hrs. lect.

CSCI0500L-S21

CRN: 22870

Advanced Study
Advanced Study
Individual study for qualified students in more advanced topics in computer science theory, systems, or application areas. Particularly suited for students who enter with advanced standing. (Approval required) 3 hrs. lect.

CSCI0500M-S21

CRN: 22871

Advanced Study
Advanced Study
Individual study for qualified students in more advanced topics in computer science theory, systems, or application areas. Particularly suited for students who enter with advanced standing. (Approval required) 3 hrs. lect.

CSCI0701A-S21

CRN: 21407

Senior Seminar
Senior Seminar
This senior seminar provides a capstone experience for computer science majors at Middlebury College. Through lectures, readings, and a series of two to three week individual and group assignments, we will introduce important concepts in research and experimental methods in computation. Examples will include: reading research papers; identifying research problems; dealing with big data; experimental design, testing and analysis; and technical writing in computer science. (Approval only).

CSCI0701B-S21

CRN: 21609

Senior Seminar
Senior Seminar
This senior seminar provides a capstone experience for computer science majors at Middlebury College. Through lectures, readings, and a series of two to three week individual and group assignments, we will introduce important concepts in research and experimental methods in computation. Examples will include: reading research papers; identifying research problems; dealing with big data; experimental design, testing and analysis; and technical writing in computer science. (Approval only).

CSCI0701C-S21

CRN: 22658

Senior Seminar
Senior Seminar
This senior seminar provides a capstone experience for computer science majors at Middlebury College. Through lectures, readings, and a series of two to three week individual and group assignments, we will introduce important concepts in research and experimental methods in computation. Examples will include: reading research papers; identifying research problems; dealing with big data; experimental design, testing and analysis; and technical writing in computer science. (Approval only).

CSCI0701Z-S21

CRN: 22659

Senior Seminar
Senior Sem Lab - CSCI 0701C
Senior Seminar
This senior seminar provides a capstone experience for computer science majors at Middlebury College. Through lectures, readings, and a series of two to three week individual and group assignments, we will introduce important concepts in research and experimental methods in computation. Examples will include: reading research papers; identifying research problems; dealing with big data; experimental design, testing and analysis; and technical writing in computer science. (Approval only).

CSCI0702A-S21

CRN: 21467

Senior Thesis
Senior Thesis
The senior thesis is required for all CSCI majors who wish to be considered for high and highest departmental honors, and is recommended for students interested in pursuing graduate study in computer science. Students will spend the semester researching and writing, and developing and experimenting as appropriate for their topic. All students will be expected to report on their work in the form of a written thesis, a poster, and an oral presentation at the end of the semester. In addition, throughout the semester, students will meet as a group to discuss research and writing, and will be expected to attend talks in the Computer Science lecture series. Before approval to join the class is granted, students are expected to have chosen a thesis adviser from the CSCI faculty, and determined a thesis topic with the guidance and approval of that adviser. (CSCI 0701 and approval required) 3 hrs. lect./disc.