jagomart
digital resources
picture1_Python Learning Book Pdf 187364 | Econ 10p Summer 2022 V2


 132x       Filetype PDF       File size 0.03 MB       Source: summer.ucla.edu


File: Python Learning Book Pdf 187364 | Econ 10p Summer 2022 V2
ucladepartment of economics econ 10p introduction to python for economists syllabus instructor dr randall r rojas oce bunche 8248 telephone 310 206 8380 e mail rrojas econ ucla edu webpage ...

icon picture PDF Filetype PDF | Posted on 02 Feb 2023 | 2 years ago
Partial capture of text on file.
                                   UCLADepartment of Economics
                           Econ 10P: Introduction to Python for Economists
                                              Syllabus
           Instructor:           Dr. Randall R. Rojas
           Office:                 Bunche 8248
           Telephone:            (310) 206-8380
           E-mail:               rrojas@econ.ucla.edu
           Webpage:              http://www.econ.ucla.edu/rrojas/
           Time and Location
           4:00PM - 6:00PM (PST), Mon -Thur. Remote via Zoom
           Course Description
           Introduction Python with a focus on data analysis through a hands on approach. The data and exam-
           ples will mainly come from finance and economics.
           Textbooks
             1. Readings from Programming with Python. Kyla McMullen, Elizabeth Matthews, & June J.
                Parsons. 2023 Edition with MindTap Access Code. E-book with Cengage Learning
             2. Python for Data Analysis. Wes McKinney. O’Reilly (2nd Ed.)
             3. Introduction to Python for Econometrics, Statistics and Data Analysis. (2020, 4th Ed.) K. Shep-
                pard (Link)
           MindTap Tutorials: https://www.cengage.com/services/product/mindtap/general/student
           MindTap Tech Support Phone/Web Site:
           1-800-990-8211 (Direct Line)
           https://cengage.force.com/s/contact-us
           Computation of Course Grade
              • 5% Attendance
                                      th
              • 15% Midterm Exam (July 28 )
              • 25% Project/Presentation 1 (July 25−26)
              • 25% Project/Presentation 2 (August 2−3)
                                               th
              • 35% Final Exam (Cumulative, August 4 )
            Tentative Course Schedule
             Day           Lecture Topics                                                 Chapters
                                                Week I
                           Finance Topics: Time Value of Money & Modern Portfolio Theory
                                                                                           a  a  a  a  a
             1 (July 18)   Introduction, Data Types, Flow Control & Loops                 3 , 4 , 5 , 6 , 7
                                                                                           a  a   a
             2 (July 19)   Lists, Dictionaries & Functions                                8 , 9 , 10
                                                                                            a   a   a
             3 (July 20)   File Operations, Recursion, and Modules                        11 , 12 , 13
                                                                                            a   a
             4 (July 21)   Classes, Objects, and Methods                                  14 , 15
                                                Week II
                           Finance Topics: Modern Portfolio Theory & CAPM
                                                                                           b
             5 (July 25)   Numerical Programming (NumPy)                                  4
                                                                                           b  b  b
              6 (July 26)  Data Manipulation (pandas)                                     5 , 6 , 7
                           Project 1 due on July 25/26
                                                                                           b  b  b
             7 (July 27)   Data Manipulation (pandas) -continued                          5 , 6 , 7
             8 (July 28)   Midterm Exam
                                                Week III
                           Finance Topics: CAPM and Stock Price Modelling
                                                                                           b
             9 (Aug 1)     Plotting & Visualization                                       9
             10 (Aug 2)    Data Analysis Application 1                                    Lecture Notes
                           Project 2 due on August 2/3
             11 (Aug 3)    Data Analysis Application 2                                    Lecture Notes
             12 (Aug 4)    Final Exam
            aReadings from Programming with Python (2023). Cengage. K. McMullen et. al.
            bPython for Data Analysis. Wes McKinney. O’Reilly (2nd Ed.)
The words contained in this file might help you see if this file matches what you are looking for:

...Ucladepartment of economics econ p introduction to python for economists syllabus instructor dr randall r rojas oce bunche telephone e mail rrojas ucla edu webpage http www time and location pm pst mon thur remote via zoom course description with a focus on data analysis through hands approach the exam ples will mainly come from nance textbooks readings programming kyla mcmullen elizabeth matthews june j parsons edition mindtap access code book cengage learning wes mckinney o reilly nd ed econometrics statistics th k shep pard link tutorials https com services product general student tech support phone web site direct line force s contact us computation grade attendance midterm july project presentation august final cumulative tentative schedule day lecture topics chapters week i finance value money modern portfolio theory types flow control loops lists dictionaries functions file operations recursion modules classes objects methods ii capm b numerical numpy manipulation pandas due con...

no reviews yet
Please Login to review.