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Your search for courses for 20/WI and with code: DGAHSKILLBLDG found 11 courses. New Search

CAMS 111.01 Digital Foundations 6 credits

Open: Size: 15, Registered: 0, Waitlist: 0

Weitz Center 138 / Weitz Center 136

MTWTHF
10:10am11:55am10:10am11:55am

Requirements Met:

Synonym: 55132

Laska Jimsen

This class introduces students to the full range of production tools and forms, building both the technical and conceptual skills needed to continue at more advanced levels. We will explore the aesthetics and mechanics of shooting digital video, the role of sound and how to record and mix it, field and studio production, lighting, and editing with Adobe Premiere Pro CC. Course work will include individual and group production projects, readings, and writing. This is an essential foundation for anyone interested in moving-image production and learning the specifics of CAMS' studios, cameras, and lighting equipment.

Sophomore Priority. Extra Time required.

Waitlist for Juniors and Seniors: CAMS 111.WL1 (Synonym 55133)

CAMS 111.02 Digital Foundations 6 credits

Open: Size: 15, Registered: 0, Waitlist: 0

Weitz Center 138 / Weitz Center 133

MTWTHF
8:15am10:00am8:15am10:00am

Requirements Met:

Synonym: 55141

Carl H Elsaesser

This class introduces students to the full range of production tools and forms, building both the technical and conceptual skills needed to continue at more advanced levels. We will explore the aesthetics and mechanics of shooting digital video, the role of sound and how to record and mix it, field and studio production, lighting, and editing with Adobe Premiere Pro CC. Course work will include individual and group production projects, readings, and writing. This is an essential foundation for anyone interested in moving-image production and learning the specifics of CAMS' studios, cameras, and lighting equipment.

Sophomore Priority. Extra Time required.

Waitlist for Juniors and Seniors: CAMS 111.WL2 (Synonym 55142)

CS 111.01 Introduction to Computer Science 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

CMC 102

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 55022

Aaron W Bauer

This course will introduce you to computer programming and the design of algorithms. By writing programs to solve problems in areas such as image processing, text processing, and simple games, you will learn about recursive and iterative algorithms, complexity analysis, graphics, data representation, software engineering, and object-oriented design. No previous programming experience is necessary. Students who have received credit for Computer Science 201 or above are not eligible to enroll in Computer Science 111.

Sophomore Priority

Waitlist for Juniors and Seniors: CS 111.WL1 (Synonym 55025)

CS 111.02 Introduction to Computer Science 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

CMC 102

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 55023

Layla K Oesper

This course will introduce you to computer programming and the design of algorithms. By writing programs to solve problems in areas such as image processing, text processing, and simple games, you will learn about recursive and iterative algorithms, complexity analysis, graphics, data representation, software engineering, and object-oriented design. No previous programming experience is necessary. Students who have received credit for Computer Science 201 or above are not eligible to enroll in Computer Science 111.

Sophomore Priority

Waitlist for Juniors and Seniors: CS 111.WL2 (Synonym 55026)

CS 111.03 Introduction to Computer Science 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

CMC 210

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 55024

Tanya M Amert

This course will introduce you to computer programming and the design of algorithms. By writing programs to solve problems in areas such as image processing, text processing, and simple games, you will learn about recursive and iterative algorithms, complexity analysis, graphics, data representation, software engineering, and object-oriented design. No previous programming experience is necessary. Students who have received credit for Computer Science 201 or above are not eligible to enroll in Computer Science 111.

HIST 200.00 Historians for Hire 2 credits

Open: Size: 15, Registered: 0, Waitlist: 0

Leighton 202

MTWTHF
8:30am9:40am
Synonym: 55001

Susannah R Ottaway

A two-credit course in which students work with faculty oversight to complete a variety of public history projects with community partners. Students will work on a research project requiring them to identify and analyze primary sources, draw conclusions from the primary source research, and share their research with the appropriate audience in an appropriate form. We meet once a week at Carleton to ensure students maintain professional standards and strong relationships in their work. Potential projects include educational programming, historical society archival work, and a variety of local history opportunities. 

Extra Time Required

MATH 215.01 Introduction to Statistics 6 credits

Open: Size: 32, Registered: 0, Waitlist: 0

Language & Dining Center 104

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 54648

Tom Madsen

Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of statistical software, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 265-275 Probability-Statistics sequence.

Prerequisite: Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Math 275.

MATH 215.02 Introduction to Statistics 6 credits

Open: Size: 31, Registered: 0, Waitlist: 0

CMC 209

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 54649

Katie St. Clair

Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of statistical software, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 265-275 Probability-Statistics sequence.

Prerequisite: Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Math 275.

Sophomore Priority

Waitlist for Juniors and Seniors: MATH 215.WL2 (Synonym 54652)

MATH 215.03 Introduction to Statistics 6 credits

Open: Size: 32, Registered: 0, Waitlist: 0

CMC 206

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 54650

Owen D Biesel

Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of statistical software, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 265-275 Probability-Statistics sequence.

Prerequisite: Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Math 275.

Sophomore Priority

Waitlist for Juniors and Seniors: MATH 215.WL3 (Synonym 54651)

MATH 285.00 Introduction to Data Science 6 credits

Open: Size: 30, Registered: 0, Waitlist: 0

CMC 102

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 54661

Katie St. Clair

This course will cover the computational side of data analysis, including data acquisition, management and visualization tools. Topics may include: data scraping, clean up and manipulation, data visualization using packages such as ggplots, understanding and visualizing spatial and network data, and supervised and unsupervised classification methods. We will use the statistics software R in this course.

Prerequisite: Mathematics 215 or Mathematics 275

MUSC 108.00 Introduction to Music Technology 6 credits

Open: Size: 20, Registered: 0, Waitlist: 0

Weitz Center 138

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm

Requirements Met:

Synonym: 53756

Andrea Mazzariello

A course in using the computer to make meaningful interventions into our practices as musicians. We'll explore a number of approaches to composing, producing, and hearing music, among them coding, visual programming, and working in a digital audio workstation. Students will ultimately combine and hybridize these different methods in order to create unique, individual systems, using them to make new work. Open to all interested students; no prior experience with music, programming, or production required.

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Requirements
You must take 6 credits of each of these.
Overlays
You must take 6 credits of each of these,
except Quantitative Reasoning, which requires 3 courses.
Special Interests