Checking date: 28/06/2019


Course: 2019/2020

Advanced knowledge of Spreadsheets
(17881)
Study: Bachelor in Telecommunication Technologies Engineering (252)


Coordinating teacher: ALVAREZ RODRIGUEZ, JOSE MARIA

Department assigned to the subject: Transversal matters

Type: Compulsory
ECTS Credits: 1.5 ECTS

Course:
Semester:




Competences and skills that will be acquired and learning results. Further information on this link
a) Be able to manage datasets, tables and pivot tables to filter, sort and summarize data. b) Be able to perform data analysis processes to make predictions and simulations. c) Be able to manage a worksheet as a database making use of the proper functions to perform queries, filter, etc. d) Be able to manage the audit, debug and trace capabilities of a spreadsheet tool. e) Know, understand and apply functions to create logical expressions to filter data and to make decisions. f) Know, understand and apply functions to manage text-based resources. g) Know, understand and apply functions to generate descriptive statistics from data. h) Know, understand and apply functions in the area of social sciences. i) Know, understand and create different types of charts. i) Know, understand, create and customize different types of charts. j) Be able to manage and customize a spreadsheet for printing and data publishing. k) Be able to create dashboards using different elements. l) Be able to automate tasks: use of macros.
Description of contents: programme
Teaching Unit 1: A first contact 1.1-Structure of a spreadsheet: book, sheets and cells.and basic operations 1.2-Working with cells and sheets, data import and references. 1.3-Task automation for this unit Teaching unit TU2: Building, understanding and exploiting data. 2.1-Formula and functions Boolean operators and functions Text Database Descriptive statistics 2.2-Tables and pivot tables 2.3-Data analysis 2.4-Task automation for this unit Teaching unit TU3: Representation of data and information, task automation and applications 3.1-Visualization (pivot charts) 3.2-Spreadsheet applications: forms, mail merge, printing, document generation, etc. 3.3-Task automation for this unit
Learning activities and methodology
Students are encouraged to bring their portable equipment. Requirements: Excel 2013 or higher. Spanish or English language version, depending on the language of the enrollment group. LEARNING ACTIVITIES Theoretical Lectures: - Show foundations and main concepts Practical Lectures: - Exercise resolution - General tutoring Team Work: - Final case development - Exercises Individual Work: - Exercises - Contribution to team project - Study and preparation of final exam
Assessment System
  • % end-of-term-examination 50
  • % of continuous assessment (assigments, laboratory, practicals...) 50
Basic Bibliography
  • Conrad Carlberg. Predictive Analytics: Microsoft Excel. Que Publishing. 2012
  • John Walkenbach. Excel 2016 Bible. Willey. 2016
  • Matthew MacDonald.. Excel 2010: The Missing Manual. . O'Reilly. 2010
Additional Bibliography
  • Cole Nussbaumer Knaflic. Storytelling with Data: A Data Visualization Guide for Business Professionals. Willey. 2015
  • Jordan Goldmeier. Advanced Excel Essentials. APress. 2015
  • Jordan Goldmeier. Dashboards for Excel. APress. 2015

The course syllabus and the academic weekly planning may change due academic events or other reasons.