Sergey Berg portrait

Sergey Berg

Limited-Term Faculty
Degree
Ph.D., 2016, Conservation Biology, University of Minnesota
B.S., 2011, Wildlife Management, University of Minnesota
B.S., 2010, Aerospace Engineering (Astrophysics Minor), University of Minnesota
Office
OSS 414

Summer 2018 Courses

Summer 2018 Courses
Course - Section Title Days Time Location
STAT 201 - 01 Introductory Statistics II - - - - - - - -

Days of Week:

- - - - - - -

Time of Day:

-

Location:

Course Registration Number:

30694 (View in ClassFinder)

Credit Hours:

2 Credit Hours

Instructor:

Sergey S. Berg

(Formerly IDTH 201) This course is for students desiring to satisfy the coverage of STAT 220 ( a full semester of statistics), when less than one full semester of statistics has been taken. Review of inferential statistics; sampling distribution of the sample mean and sample proportion, central limit theorem, confidence intervals and hypothesis tests for one and two means and one and two proportions. Introduction to basic applications: tests of independence, analysis of variance and linear regression. A statistical package must be used as tool. Prerequisite: STAT 206 (IDTH 206) or at least .35 semester, but less than one semester of statistics. Note: Students who receive credit for STAT 201 may not receive credit for STAT 220.

Schedule Details

Location Time Day(s)

Fall 2018 Courses

Fall 2018 Courses
Course - Section Title Days Time Location
STAT 220 - 03 Statistics I - T - R - - - 0955 - 1135 OWS 150

Days of Week:

- T - R - - -

Time of Day:

0955 - 1135

Location:

OWS 150

Course Registration Number:

40826 (View in ClassFinder)

Credit Hours:

4 Credit Hours

Instructor:

Sergey S. Berg

NOTE: Students registering for lecture STAT 220 03 must also register for lab 57, 58, or 59. Formerly IDTH 220. Statistics I is composed of an in-depth study of the processes through which statistics are applied in order to learn about environments and events. In this course, there is an intensive focus on the application, analysis, interpretation, and presentation of both descriptive and inferential statistics in myriad contexts. Topics covered include analytical and graphical tools for summarizing categorical and quantitative variables; correlation and simple linear regression; sampling strategies and research design; probability, probability models, and random variables; sampling distribution models; inference for one and two proportions; inference for one and two or more independent means; inference for paired means; inference for comparing counts; and inference for simple linear regression. Students must enroll in both a lecture section and software-specific laboratory section, in the same academic semester, to successfully complete STAT 220. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at MATH 108 or above; or MATH 100, 101, or 105. NOTE: Students who receive credit for STAT 220 may not receive credit for STAT 201.

Schedule Details

Location Time Day(s)

J-Term 2019 Courses

J-Term 2019 Courses
Course - Section Title Days Time Location