diff --git a/script/analysis/admission_analysis.py b/script/analysis/admission_analysis.py
index 526c4cdc4278bf036cc1504301c1d1c1024df49a..bc85e613e9913705bf138b711ad482bef94da6ee 100644
--- a/script/analysis/admission_analysis.py
+++ b/script/analysis/admission_analysis.py
@@ -12,127 +12,3 @@ def listagem_turma_ingresso(df):
 		print(t)
 		print("\n\n")
 		print(df["FORMA_INGRESSO"][grupos[t]].drop_duplicates())
-
-def listagem_alunos_ativos(df):
-	return list(df["MATR_ALUNO"][df["FORMA_EVASAO"] == EvasionForm.EF_ATIVO].drop_duplicates())
-	
-
-
-
-def posicao_turmaIngresso_semestral(df):
-	iras = ira_semestral(df)
-	iraMax = {}
-	for matr in iras:
-		for semestreAno in iras[matr]:
-			if not (semestreAno in iraMax):
-				iraMax[semestreAno] = iras[matr][semestreAno]
-			else:
-				if (iras[matr][semestreAno] > iraMax[semestreAno]):
-					iraMax[semestreAno] = iras[matr][semestreAno]
-	for matr in iras:
-		for semestreAno in iras[matr]:
-			iras[matr][semestreAno] /= iraMax[semestreAno]
-
-	return iras
-
-
-def periodo_real(df):
-	aux = df.groupby(["MATR_ALUNO"])
-	students = {}
-	for x in aux:
-		students[x[0]] = None
-	return students
-
-
-def periodo_pretendido(df):
-	aux = df.groupby(["MATR_ALUNO", "ANO_INGRESSO", "SEMESTRE_INGRESSO"])
-	students = {}
-	for x in aux:
-		students[x[0][0]] = (ANO_ATUAL - int(x[0][1])) * 2 + SEMESTRE_ATUAL - int(x[0][2]) + 1
-	return students
-
-
-def ira_semestral(df):
-	aux = ira_por_quantidade_disciplinas(df)
-	for matr in aux:
-		for periodo in aux[matr]:
-			aux[matr][periodo] = aux[matr][periodo][0]
-	return aux
-
-
-def ira_por_quantidade_disciplinas(df):
-	students = {}
-	df = df.dropna(subset=["MEDIA_FINAL"])
-
-	total_students = len(df["MATR_ALUNO"])
-	for i in range(total_students):
-		matr = (df["MATR_ALUNO"][i])
-		if (not (matr in students)):
-			students[matr] = {}
-
-		ano = str(int(df["ANO"][i]))
-		semestre = str(df["PERIODO"][i])
-		situacao = int(df["SITUACAO"][i])
-		nota = float(df["MEDIA_FINAL"][i])
-		media_credito = int(df["MEDIA_CREDITO"][i])
-
-		if (situacao in Situation.SITUATION_AFFECT_IRA and media_credito != 0):
-
-			if not (ano + "/" + semestre in students[matr]):
-				students[matr][ano + "/" + semestre] = [0, 0]
-			students[matr][ano + "/" + semestre][0] += nota
-			students[matr][ano + "/" + semestre][1] += 1
-
-	for matr in students:
-		for periodo in students[matr]:
-			if (students[matr][periodo][1] != 0):
-				students[matr][periodo][0] /= students[matr][periodo][1] * 100
-	return (students)
-
-
-def indice_aprovacao_semestral(df):
-	students = {}
-	df = df.dropna(subset=['MEDIA_FINAL'])
-	total_students = len(df["MATR_ALUNO"])
-	for i in range(total_students):
-		matr = (df["MATR_ALUNO"][i])
-		if (not (matr in students)):
-			students[matr] = {}
-
-		ano = str(int(df["ANO"][i]))
-		semestre = str(df["PERIODO"][i])
-		situacao = int(df["SITUACAO"][i])
-
-		if not (ano + "/" + semestre in students[matr]):
-			students[matr][ano + "/" + semestre] = [0, 0]
-
-		if situacao in Situation.SITUATION_PASS:
-			students[matr][ano + "/" + semestre][0] += 1
-			students[matr][ano + "/" + semestre][1] += 1
-		if situacao in Situation.SITUATION_FAIL:
-			students[matr][ano + "/" + semestre][1] += 1
-	return (students)
-
-
-def aluno_turmas(df):
-	students = {}
-	df = df.dropna(subset=['MEDIA_FINAL'])
-
-	situations = dict(Situation.SITUATIONS)
-
-	for matr, hist in df.groupby('MATR_ALUNO'):
-		students[matr] = []
-
-		for _, row in hist.iterrows():
-			data = {
-				'ano': str(int(row["ANO"])),
-				'codigo': row["COD_ATIV_CURRIC"],
-				'nome': row["NOME_ATIV_CURRIC"],
-				'nota': row["MEDIA_FINAL"],
-				'semestre': row["PERIODO"],
-				'situacao': situations.get(row["SITUACAO"], Situation.SIT_OUTROS)
-			}
-
-			students[matr].append(data)
-
-	return students
diff --git a/script/analysis/student_analysis.py b/script/analysis/student_analysis.py
index 259dd95e6b89ebe4dc56e609b99a0fa7aa3873f2..cf28afb5ecc65b45156d51632a3e19afc5e874ce 100644
--- a/script/analysis/student_analysis.py
+++ b/script/analysis/student_analysis.py
@@ -59,7 +59,7 @@ def ira_por_quantidade_disciplinas(df):
 
 	total_students = len(df["MATR_ALUNO"])
 	for i in range(total_students):
-		matr = (df["MATR_ALUNO"][i])
+		matr = df["MATR_ALUNO"][i]
 		if (not (matr in students)):
 			students[matr] = {}
 
@@ -67,19 +67,22 @@ def ira_por_quantidade_disciplinas(df):
 		semestre = str(df["PERIODO"][i])
 		situacao = int(df["SITUACAO"][i])
 		nota = float(df["MEDIA_FINAL"][i])
+		carga = float(df["CH_TOTAL"][i])
 		media_credito = int(df["MEDIA_CREDITO"][i])
-
+		
+		
 		if (situacao in Situation.SITUATION_AFFECT_IRA and media_credito != 0):
-
 			if not (ano + "/" + semestre in students[matr]):
-				students[matr][ano + "/" + semestre] = [0, 0]
-			students[matr][ano + "/" + semestre][0] += nota
+				students[matr][ano + "/" + semestre] = [0, 0, 0]
+			
+			students[matr][ano + "/" + semestre][0] += nota*carga
 			students[matr][ano + "/" + semestre][1] += 1
+			students[matr][ano + "/" + semestre][2] += carga
 
 	for matr in students:
 		for periodo in students[matr]:
-			if (students[matr][periodo][1] != 0):
-				students[matr][periodo][0] /= students[matr][periodo][1] * 100
+			if (students[matr][periodo][2] != 0):
+				students[matr][periodo][0] /= students[matr][periodo][2] * 100
 	return (students)