Need more flexibility to fit your coursework into your life? With Summer Term's online courses, you can work—or say “yes” to your dream internship—and still continue to pace yourself on the path to graduation.

Filter your search to find the class you need or to explore a new interest. Some undergraduate courses are also available to qualified pre-college students.

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Results for: Undergraduate students, STEM

Bootcamp: JAVA - EN.500.132

Pre-College students & Undergraduate students May 30 - June 30 Online
1 Credit Status: Open Save this Course View Saved Courses

This online course provides students who have already achieved a basic understanding of programming and computational thinking in one programming language with an opportunity to apply these skills in another programming language. Students will be expected to complete projects to demonstrate proficiency in the new language. Satisfactory/unsatisfactory only.

Prerequisites: Not open to students who have completed EN.600.107 (Introductory Programming in JAVA) or EN.500.112 (Gateway Computing: JAVA). Students must have completed EN.500.113 (Gateway Computing: Python) or EN.500.114 (Gateway Computing: Matlab) or EN.510.202 (Computation and Programming for Materials Scientists and Engineers) or EN.530.123 (Computational Modeling for Electrical and Computer Engineering) or EN.601.220 (Intermeidate Programming).

This online course is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for important course deadlines.

Duration
5 weeks
Area of Study
STEM
Department
EN General Engineering

Bootcamp: Python - EN.500.133

Pre-College students & Undergraduate students July 3 - August 4 Online
1 Credit Status: Open Save this Course View Saved Courses

This online course provides students who have already achieved a basic understanding of programming and computational thinking in one programming language with an opportunity to apply these skills in another programming language. Students will be expected to complete projects to demonstrate proficiency in the new language. Satisfactory/unsatisfactory only

Prerequisites: Not open to students who have completed EN.500.113 (Gateway Computing: Python). Students must have completed: EN.500.112 (Gateway Computing: JAVA) or EN.500.114 (Gateway Computing: Matlab) or EN.510.202 (Computation and Programming for Materials Scientists and Engineeres) or EN.520.123 (Computational Modeling for Eletrical and Computer Engineering) or EN.601.220 (Intermediate Programming.)

This online course is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for important course deadlines.

Duration
5 weeks
Area of Study
STEM
Department
EN General Engineering

Calculus I (Physical Sciences & Engineering) - AS.110.108

Pre-College students & Undergraduate students June 5 - July 28 Online
4 Credits Status: Open Save this Course View Saved Courses

Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines.

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
STEM
Department
Mathematics
Instructor
Clayton, Amanda

Calculus II (For Biology and Social Science) - AS.110.107

Pre-College students & Undergraduate students June 5 - July 28 Online
4 Credits Status: Open Save this Course View Saved Courses

Differential and integral Calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Applications to the biological and social sciences will be discussed, and the courses are designed to meet the needs of students in these disciplines.

Prerequisites: Grade of C- or better in AS.110.106 (Calculus I: Biology and Social Sciences) or AS110.108 (Calculus I For Physical Sciences and Engineering), or a 5 on the AP AB exam.

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
STEM
Department
Mathematics
Instructor
Bridgman, Terry

Calculus II (Physical Sciences & Engineering) - AS.110.109

Pre-College students & Undergraduate students June 5 - July 28 Online
4 Credits Status: Open Save this Course View Saved Courses

Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines.

Prerequisites: Grade of C- or better in AS.110.106 (Calculus I: Biology and Social Sciences) or AS110.108 (Calculus I For Physical Sciences and Engineering), or a 5 on the AP AB exam.

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
STEM
Department
Mathematics
Instructor
Cutrone, Joseph

Calculus III - AS.110.202

Pre-College students & Undergraduate students June 5 - July 28 Online
4 Credits Status: Open Save this Course View Saved Courses

(Non-JHU students must register by June 1 in order to participate in the course.)

Calculus of Several Variables. Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem.

Prerequisite: Grade of C- or better in AS.110.107 (Calculus II For Biological and Social Science) or AS.110.109 (Calculus II For Physical Sciences and Engineering) or AS.110.113 (Honors Single Variable Calculus) or AS.110.201 (Linear Algebra) or AS.110.212 (Honors Linear Algebra) or AS.110.302 (Differential Equaitions and Applications), or a 5 on the AP BC exam.

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
STEM
Department
Mathematics
Instructor
Christiansen, Teri

College Algebra - AS.110.102

Pre-College students & Undergraduate students June 5 - July 28 Online
3 Credits Status: Open Save this Course View Saved Courses

This introductory course will create a foundational understanding of topics in Algebra. An emphasis will be on applications to prepare students for future courses like Precalculus or Statistics. After a review of elementary algebra concepts, topics covered include: equations and inequalities, linear equations, exponents and polynomials, factoring, rational expressions and equations, relations and functions, radicals, linear and quadratic equations, higher-degree polynomials, exponential, logarithmic, and rational functions.

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
STEM
Department
Mathematics
Instructor
Gaines, Alexa
Additional Instructor
Ross , Lauren

Developmental Genetics Lab - AS.020.340

Undergraduate students May 22 - June 30 Online
3 Credits Status: Open Save this Course View Saved Courses

CRISPR (clustered regularly-interspaced short palindromic repeat) is one of the greatest advances in biology in the past decade, providing researchers with the tools to precisely and affordably edit genomes and physicians a new tool to cure disease. However, the ability to edit plant and animal genomes, including human genomes, comes with significant ethical considerations. This course will utilize a hybrid classroom-laboratory approach to provide students with both a comprehensive knowledge of the CRISPR system and a deeper understanding of how gene function is studied. At the end of the course, you will not only understand how CRISPR works, but also have a better understanding of the power of genetics to illuminate molecular mechanisms of protein function.

Prerequisites: AS.020.303 (Genetics) must be taken prior to or during enrollment in the Developmental Genetics Lab. Students must have completed Lab Safety training prior to registering for this class. To access the tutorial, login to myLearning and enter 458083 in the Search box to locate the appropriate module.

Duration
6 weeks
Area of Study
STEM
Department
Biology
Instructor
Norris, Carolyn
Class Schedule
Monday
1:00 PM-5:00 PM
Wednesday
1:00 PM-5:00 PM
Friday
1:00 PM-5:00 PM

Differential Equations with Applications - AS.110.302

Pre-College students & Undergraduate students June 5 - July 28 Online
4 Credits Status: Open Save this Course View Saved Courses

This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics.

Prerequisite: Grade of C- or better in AS.110.107 (Calculus II For Biological and Social Science) or AS.110.109 (Calculus II For Physical Sciences and Engineering) OR AS.110.113 (Honors Single Variable Calculus) or a 5 on the AP BC exam.

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
STEM
Department
Mathematics
Instructor
Marshburn, Nicholas

Elementary Number Theory - AS.110.304

Pre-College students & Undergraduate students June 5 - July 28 Online
4 Credits Status: Open Save this Course View Saved Courses

The student is provided with many historical examples of topics, each of which serves as an illustration of and provides a background for many years of current research in number theory. Primes and prime factorization, congruences, Euler's function, quadratic reciprocity, primitive roots, solutions to polynomial congruences (Chevalley's theorem), Diophantine equations including the Pythagorean and Pell equations, Gaussian integers, Dirichlet's theorem on primes.

Prerequisite:Grade of C- or better in AS.110.201 (Linear Algebra) or AS.110.212 (Honors Linear Algebra).

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
STEM
Department
Mathematics
Instructor
Marshburn, Nicholas

Financial Accounting - EN.660.203

Pre-College students & Undergraduate students May 30 - August 4 Online
3 Credits Status: Open Save this Course View Saved Courses

The course in Financial Accounting is designed for anyone who could be called upon to analyze and/or communicate financial results and/or make effective financial decisions in a for-profit business setting. No prior accounting knowledge or skill is required for successful completion of this course. Because accounting is described as the language of business, this course emphasizes the vocabulary, methods, and processes by which all business transactions are communicated. The accounting cycle, basic business transactions, internal controls, and preparation and understanding of financial statements including balance sheets, statements of income and cash flows are covered. No audits.

This online course is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for important course deadlines.

Duration
10 weeks
Area of Study
STEM
Department
EN Center for Leadership Education

Foundations of American Enterprise - EN.660.105

Pre-College students & Undergraduate students May 30 - August 4 Online
3 Credits Status: Open Save this Course View Saved Courses

Formerly Introduction to Business, this course is designed as an overview comprising three broad categories: the economic, financial, and corporate context of business activities; the organization and management of business enterprises; and, the marketing and production of goods and services. Topic specific readings, short case studies and financial exercises all focus on the bases for managerial decisions as well as the long and short-term implications of those decisions in a global environment. No audits.

This online course is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for important course deadlines.

Duration
10 weeks
Areas of Study
STEM,Social Sciences
Department
EN Center for Leadership Education

General Biology I - AS.020.151

Pre-College students & Undergraduate students May 30 - June 30 Online
3 Credits Status: Open Save this Course View Saved Courses

This course is an introduction to biology from an evolutionary, molecular and cellular perspective. Specific topics and themes include evolutionary theory, the structure and function of biological molecules, mechanisms of harvesting energy, cell division, classical genetics and gene expression. This section will involve in-class problem solving and the use of assigned pre-class videos and questions.

Prerequisite: AP Biology.

This online course is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for important course deadlines.

Duration
5 weeks
Area of Study
STEM
Department
Biology

General Biology II - AS.020.152

Pre-College students & Undergraduate students July 3 - August 4 Online
3 Credits Status: Open Save this Course View Saved Courses

This course builds on the concepts presented and discussed in General Biology I. The primary foci of this course will be on the diversity of life and on the anatomy, physiology, and evolution of plants and animals. There will be a special emphasis on human biology.

Prerequisite: AP Biology.

This online course is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for important course deadlines.

Duration
5 weeks
Area of Study
STEM
Department
Biology

Genetics - AS.020.303

Undergraduate students May 30 - June 30 Online
3 Credits Status: Open Save this Course View Saved Courses

Presentation of the principles of heredity and variation, and their application to evolution and development; physico-chemical nature of the gene; problems of recombination; gene action.

Students may receive credit for AS.020.330 or AS.020.303, but not both.

This online course is primarily delivered asynchronously; however, your instructor may schedule live interactions as well. Please refer to your syllabus for these opportunities and for important course deadlines.

Duration
5 weeks
Area of Study
STEM
Department
Biology
Instructor
Fisher, Emily

Honors Algebra II - AS.110.412

Pre-College students & Undergraduate students June 5 - July 28 Online
4 Credits Status: Open Save this Course View Saved Courses

This is a continuation of 110.411 Honors Algebra I. Topics studies include principal ideal domains, structure of finitely generated modules over them. Introduction to field theory. Linear algebra over a field. Field extensions, constructible polygons, non-trisectability. Splitting field of a polynomial, algebraic closure of a field. Galois theory: correspondence between subgroups and subfields. Solvability of polynomial equations by radicals.

Prerequisite: C- or better in AS.110.411 (Honors Algebra II)

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
STEM
Department
Mathematics

Introduction to Abstract Algebra - AS.110.401

Pre-College students & Undergraduate students June 5 - July 28 Online
4 Credits Status: Open Save this Course View Saved Courses

An introduction to the basic notions of modern abstract algebra and can serve as as Introduction to Proofs (IP) course. This course is an introduction to group theory, with an emphasis on concrete examples, and especially on geometric symmetry groups. The course will introduce basic notions (groups, subgroups, homomorphisms, quotients) and prove foundational results (Lagrange's theorem, Cauchy's theorem, orbit-counting techniques, the classification of finite abelian groups). Examples to be discussed include permutation groups, dihedral groups, matrix groups, and finite rotation groups, culminating in the classification of the wallpaper groups.

Prerequisite:Grade of C- or better in AS.110.201 (Linear Algebra) or AS.110.212 (Honors Linear Algebra).

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
STEM
Department
Mathematics
Instructor
Marshburn, Nicholas

Introduction to Data Analysis - AS.110.125

Pre-College students & Undergraduate students June 5 - July 28 Online
4 Credits Status: Open Save this Course View Saved Courses

This online course introduces students to important concepts in data analytics across a wide range of case studies. Students will learn how to gather, analyze, and interpret data to drive strategic and operational success. They’ll explore how to clean and organize data for analysis and how to perform calculations using spreadsheets, SQL and R programming. Topics include the data science lifecycle, probability, statistics, hypothesis testing, set theory, graphing, regression, and data ethics.

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
STEM
Department
Mathematics
Instructor
Gaines, Alexa

Introduction to Financial Mathematics - AS.110.276

Pre-College students & Undergraduate students June 5 - July 28 Online
4 Credits Status: Open Save this Course View Saved Courses

This course is designed to develop students' understanding of fundamental concepts of financial mathematics.  The course will cover mathematical theory and applications including the time value of money, annuities and cash flows, bond pricing, loans, amortization, stock and portfolio pricing, immunization of portfolios, swaps and determinants of interest rates, asset matching and convexity.  A basic knowledge of calculus and an introductory knowledge of probability is assumed.

Prerequisite: Calculus I or equivalent.

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
STEM
Department
Mathematics

Introduction to Mathematical Cryptography - AS.110.375

Pre-College students & Undergraduate students June 5 - July 28 Online
4 Credits Status: Open Save this Course View Saved Courses

An Introduction to Mathematical Cryptography is an introduction to modern cryptography with an emphasis on the mathematics behind the theory of public key cryptosystems and digital signature schemes. The course develops the mathematical tools needed for the construction and security analysis of diverse cryptosystems. Other topics central to mathematical cryptography covered are: classical cryptographic constructions, such as Diffie-Hellmann key exchange, discrete logarithm-based cryptosystems, the RSA cryptosystem, and digital signatures. Fundamental mathematical tools for cryptography studied include: primality testing, factorization algorithms, probability theory, information theory, and collision algorithms. A survey of important recent cryptographic innovations, such as elliptic curves, elliptic curve and pairing-based cryptography are included as well. This course is an ideal introduction for mathematics and computer science students to the mathematical foundations of modern cryptography.

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
STEM
Department
Mathematics
Instructor
Ross, Lauren

Introduction to Proofs - AS.110.301

Pre-College students & Undergraduate students June 5 - July 28 Online
4 Credits Status: Open Save this Course View Saved Courses

This course will provide a practical introduction to mathematical proofs with the aim of developing fluency in the language of mathematics, which itself is often described as “the language of the universe.” Along with a library of proof techniques, we shall tour propositional logic, set theory, cardinal arithmetic, and metric topology and explore “proof relevant” mathematics by interacting with a computer proof assistant. This course on the construction of mathematical proof will conclude with a deconstruction of mathematical proof, interrogating the extent to which proof serves as a means to discover universal truths and assessing the mechanisms by which the mathematical community achieves consensus regarding whether a claimed result has been proven.

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
STEM
Department
Mathematics
Instructor
Goldstein, Erich

Introduction to Topology - AS.110.413

Pre-College students & Undergraduate students June 5 - July 28 Online
4 Credits Status: Open Save this Course View Saved Courses

Topological spaces, connectedness, compactness, quotient spaces, metric spaces, function spaces. An introduction to algebraic topology: covering spaces, the fundamental group, and other topics as time permits.

Prerequisite: AS.110.202 (Calculus III) or AS.110.211 (Honors Multivariable Calculus).

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Areas of Study
STEM,Social Sciences
Department
Mathematics
Instructor
Ross, Lauren

Linear Algebra - AS.110.201

Pre-College students & Undergraduate students June 5 - July 28 Online
4 Credits Status: Open Save this Course View Saved Courses

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

Prerequisite: Grade of C- or better in AS.110.107 (Calculus II For Biological and Social Science) or AS.110.109 (Calculus II For Physical Sciences and Engineering) or AS.110.113 (Honors Single Variable Calculus) or AS.110.202 (Calculus II) or AS.110.302 (Differential Equaitions and Applications), or a 5 on the AP BC exam.

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
STEM
Department
Mathematics
Instructor
Specter, Joel

Mathematics of Data Science - AS.110.205

Pre-College students & Undergraduate students June 5 - July 28 Online
4 Credits Status: Open Save this Course View Saved Courses

This course is designed for students of all backgrounds to provide a solid foundation in the underlying mathematical, programming, and statistical theory of data analysis. In today's data driven world, data literacy is an increasingly important skill to master. To this end, the course will motivate the fundamental concepts used in this growing field. While discussing the general theory behind common methods of data science there will be numerous applications to real world data sets. In particular, the course will use Python libraries to create, import, and analyze data sets. 

Prerequisites: There are no mathematical prerequisites for this course although prior knowledge of calculus, statistics and/or programming can be helpful.

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
STEM
Department
Mathematics
Instructor
Ratigan, Christohper

Methods of Complex Analysis - AS.110.311

Pre-College students & Undergraduate students June 5 - July 28 Online
4 Credits Status: Open Save this Course View Saved Courses

This course is an introduction to the theory of functions of one complex variable. Its emphasis is on techniques and applications, and it serves as a basis for more advanced courses. Functions of a complex variable and their derivatives; power series and Laurent expansions; Cauchy integral theorem and formula; calculus of residues and contour integrals; harmonic functions.

Prerequisite: Grade of C- or better in AS.110.202 (Calculus III) or AS.110.211 (Honors Multivariable Calculus).

A flexible weekly schedule accommodates all student schedules and time zones, and courses include pre-recorded lectures, notes, and interactives to help students learn the material. Assessments include computer-scored items for immediate feedback as well as instructor-graded assignments for personalized learning. Students have access to instructors through email or individual reviews, and weekly instructor-led synchronous problem-solving sessions are recorded to view any time. Students should expect to work a minimum of 5-10 hours per week.

Duration
8 weeks
Area of Study
STEM
Department
Mathematics
Instructor
Goldstein, Erich

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