Guías Docentes Electrónicas
1. General information
Course:
COMPUTATIONAL CHEMISTRY
Code:
310584
Type:
CORE COURSE
ECTS credits:
6
Degree:
2326 - MASTER DEGREE PROGRAMME IN CHEMICAL RESEARCH
Academic year:
2019-20
Center:
1 - FACULTY OF SCIENCE AND CHEMICAL TECHNOLOGY
Group(s):
20 
Year:
1
Duration:
First semester
Main language:
Spanish
Second language:
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: MARIA REYES LOPEZ ALAÑON - Group(s): 20 
Building/Office
Department
Phone number
Email
Office hours
Marie Curie (segunda planta))
QUÍMICA FÍSICA
926052779
reyes.lopez@uclm.es
Lunes y Martes: 11-13 h Miércoles de 16:30h a 18:30h.

Lecturer: LUCIA SANTOS PEINADO - Group(s): 20 
Building/Office
Department
Phone number
Email
Office hours
Edifico Marie Curie/2.05
QUÍMICA FÍSICA
926052480
lucia.santos@uclm.es
Lunes y jueves 10.00h-12.00h miércoles 18h-20h

2. Pre-Requisites
Not established
3. Justification in the curriculum, relation to other subjects and to the profession
Not established
4. Degree competences achieved in this course
Course competences
Code Description
E02 Relating the macroscopic and supramolecular properties with those of atoms, molecules and non-molecular chemical compounds.
E03 Knowing the principles of quantum mechanics and their application to the determination of the structure and properties of atoms and molecules.
E04 Knowing the usefulness of the methods of design, simulation and molecular calculations, as well as having skills in the handling of these methods.
G01 Knowing the precision of the experimental data and its use for the planning of experimental research work.
T02 Ability to work in a team and to exercise leadership functions, fostering the entrepreneurial character
T04 Ability to use specific software for research in chemistry.
T05 Ability to obtain bibliographic information at the research level, including Internet resources (databases, specialized scientific bibliography, social networks, etc ...), as well as carry out a selection and classification of it.
5. Objectives or Learning Outcomes
Course learning outcomes
Description
To analyze chemical phenomena and processes through simulation at individual level and as a team
To apply computer tools to work with remote work stations, to perform calculations and transfer files from or to them.
To acquire knowledge about the theoretical basis, limitations and application areas of the main methods in Computational Chemistry
To establish structure-reactivity relationships from empirical correlations
To interpret the results of a kinetic or computational study and present them properly, supported by the information obtained from previous bibliographic search
To use properly the research software  used in the laboratory and in the computer room
To solve structure, spectroscopy or reactivity problems using theoretical methods.
To combine advanced modeling techniques in Chemistry with the support of computational tools and to develop simulations in order to facilitate the understanding of theoretical and experimental concepts.
Additional outcomes
Not established.
6. Units / Contents
  • Unit 1:
  • Unit 2:
  • Unit 3:
  • Unit 4:
  • Unit 5:
  • Unit 6:
  • Unit 7:
  • Unit 8:
7. Activities, Units/Modules and Methodology
Training Activity Methodology Related Competences (only degrees before RD 822/2021) ECTS Hours As Com R Description *
Class Attendance (theory) [ON-SITE] Lectures E02 E03 G01 1 25 Y N Y
Study and Exam Preparation [OFF-SITE] Self-study 1.5 37.5 Y Y Y
Workshops or seminars [ON-SITE] 0.4 10 Y N Y
Computer room practice [ON-SITE] Work with simulators 0.9 22.5 Y Y Y
Practicum and practical activities report writing or preparation [OFF-SITE] Self-study 0.88 22 Y Y Y
Writing of reports or projects [OFF-SITE] Guided or supervised work 1 25 Y N Y
Final test [ON-SITE] Self-study 0.12 3 Y Y Y
Other off-site activity [OFF-SITE] Self-study 0.2 5 Y N Y
Total: 6 150
Total credits of in-class work: 2.42 Total class time hours: 60.5
Total credits of out of class work: 3.58 Total hours of out of class work: 89.5

As: Assessable training activity
Com: Training activity of compulsory overcoming
R: Rescheduling training activity

8. Evaluation criteria and Grading System
  Grading System  
Evaluation System Face-to-Face Self-Study Student Description
Assessment of activities done in the computer labs 25.00% 25.00%
Practicum and practical activities reports assessment 10.00% 10.00%
Assessment of problem solving and/or case studies 15.00% 15.00%
Assessment of active participation 5.00% 5.00%
Final test 45.00% 45.00%
Total: 100.00% 100.00%  

Evaluation criteria for the final exam:
Evaluation criteria not defined
Specifications for the resit/retake exam:
Evaluation criteria not defined
Specifications for the second resit / retake exam:
Evaluation criteria not defined
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours

10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
http://www.cup.uni-muenchen.de/oc/zipse/computationalchemistry1.html  
http://www.cup.uni-muenchen.de/oc/zipse/computationalchemistry2.html  
C. J. Cramer Essentials of Computational Chemistry N.Y John Wiley&Sons, LTD 0-471-48552-7 2002  
F. Jensen Introduction to Computational Chemistry N.Y John Wiley&Sons LTD 13-978-0-470-01187-4 2007  
I.N. Levine Química Cuántica Madrid Prentice Hall 84-205-3096-4 2001  
J. Bertrán, V. Branchadell; M. Moreno y M. Sodupe Química Cuántica Madrid Síntesis 84-7738-742-7 2002  
J.B. Foresman and A,. Frisch Exploring Chemistry with Electronic Structure Methods Pittsburgh Gaussian Inc 0-9636769-3-8 1996  
J.L Calais Quantum Chemistry Workbook John Wiley&Sons. INC 0-471-59435-0 1994 Ficha de la biblioteca
Juan Andrés, J. Bertrán (eds) Química Teórica y Computacional Castellón P. de la Universidad Jaume I Castellón 84-8021-312-4 2000  
L.E. Bailey, M.D.Trotiño Q.C. La Química Cuántica en 100 problemas Madrid UNED 84-362-1350-5 2004  



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