Meine Veranstaltungen - E.L.V.I.S. 3.1

Vorlesungsverzeichnis

Informationen zur Lehrveranstaltung

Fragen und Antworten

Kontakte

Kalender & Termine

FormPage TabContent

Hasnain BOKHARI

Introduction to data analytics with R and generative AI

WS 2025

7020038

Teaching language

Englisch

Dates

Wö	Mi	22.10.2025–19.11.2025	16:00–18:00	C03-LG 1 \| 219
Wö	Mi	26.11.2025–04.02.2026	16:00–18:00	C07-LG 2 \| 115
ET	Do	12.02.2026	10:00–12:00	C18-LG 4 \| 03.10

Registration

[No data available.]

Modules

M Pub 2020 601SPNPM#02 // S 3LP   ::322286::
M Pub 2020 602SPGPP#02 // S 3LP   ::322285::
M Pub 2020 603SPSEP#02 // S 3LP   ::322287::
M Pub 2020 604SPCSM#02 // S 3LP   ::322284::

Comment
Data analytics holds significant value in the policy sciences, enabling policymakers to make informed, evidence-based decisions through the systematic collection, analysis, and interpretation of data. This leads to more effective and targeted policy interventions. In today’s rapidly changing job market, proficiency in real-world data analysis and familiarity with analytical tools have become essential qualifications across public and private sectors. This course introduces students to data analytics using R, a popular programming language for data science. Students will learn to work with data, perform basic statistical analyses, and create data visualizations to communicate insights effectively. Designed specifically for non-technical students and those in public policy, the course requires no prior programming knowledge. In addition, the course incorporates an introduction to generative AI, including guided exercises on using AI tools to assist with coding tasks—such as generating and refining R code through effective prompting. Through hands-on exercises and in-class lab work, students will learn R syntax and how to write code, supported by a capstone project grounded in public policy. By the end of the course, students will understand R’s syntax and core programming concepts while also acquiring foundational data analytics skills.

Literature

[No data available.]

Legende Termintypen

Wö = wöchentlicher Termin , ET = Einzeltermin , AB = A- oder B-Woche , Vo = Vorbesprechung , Ex = Exkursion , Kl = Klausur , Tä, At, Wt = täglicher (Block-)Termin , nV = nach Vereinbarung/nicht festgelegt. Wö = wöchentlicher Termin (meets weekly) , ET = Einzeltermin (meets one time only) , AB = A- oder B-Woche (alternating: “A” or “B” weeks) , Vo = Vorbesprechung (preliminary meeting) , Ex = Exkursion (excursion/study trip) , Kl = Klausur (exam) , Tä, At, Wt = täglicher (Block-)Termin (meets daily/block seminar) , nV = nach Vereinbarung/nicht festgelegt (by appointment, TBA).

Legende Raumbezeichnungen

AMG = AudiMaxGebäude , APS = AlteParteiSchule , FG = Forschungsgebäude , GH = Gartenhaus , GSH = Große Sporthalle , HdProjekte = Haus der Projekte , KSyn = Kleine Synagoge , LG = Lehrgebäude , MG = Mitarbeitergbäude , MTV Halle = Männerturnverein Halle , SH JP = Schwimmhalle Johannesplatz , WBS = Willy Brandt School , ZSG = Zentralschulgarten